Sensitivity and specificity

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Sensitivity and specificity are statistical measures of the performance of a binary classification test, also known in statistics as classification function. (Wikipedia.org)






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2023 Annual International Conference of the IEEE Engineering in Medicine & Biology Conference (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted full papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions,will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.


2020 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)

All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation


2019 44th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz)

Science, technology and applications spanning the millimeter-waves, terahertz and infrared spectral regions


2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.


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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Industrial Informatics, IEEE Transactions on

IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...


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Xplore Articles related to Sensitivity and specificity

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7A-4 A New Method for Enhancing Dynamic Vascular Patterns of Focal Liver Lesions in Contrast Ultrasound

2007 IEEE Ultrasonics Symposium Proceedings, 2007

The differential diagnosis of focal liver lesions (FLL) frequently presents a dilemma, as FLL cannot be reliably characterized with conventional ultrasound. Recently, ultrasound contrast agents (UCA) and contrast-specific imaging methods have substantially improved the characterization of FLL. This was made possible by the known differences in dynamic vascular patterns (DVP) between healthy parenchyma and various FLL types, revealed by UCA. ...


A medical decision making system for predicting the probability of cardiac events in patients with residual ischemia after uncomplicated acute myocardial infarction

[1991] Proceedings Computers in Cardiology, 1991

The goal was to develop an integrated consultative system, able to store data relative to patients' clinical history and noninvasive diagnostic tests, retrieve them and perform a statistical analysis, and finally present to the physician the probability of a future cardiac event for the individual patient, with a definite sensitivity and specificity. In the clinical scenario of residual ischemia at ...


Second-trimester triple serum tests in women screening for down's syndrome: A meta analysis

2016 IEEE International Conference on Big Data Analysis (ICBDA), 2016

Objective: Systematically review the value of second-trimester triple serum tests screening for Down's syndrome by using meta analysis. Method: The literature on PubMed, Journal of Medicine Library, CNKI, Web of Knowledge from January 2000 to April 2014 concerning second-trimester Down's syndrome screening was retrieved by computer or by hand. The literature was evaluated based on the QUADAS quality evaluation standard. ...


Clinical microwave breast imaging — 2D results and the evolution to 3D

2009 International Conference on Electromagnetics in Advanced Applications, 2009

The incidence of breast cancer and associated deaths are a recognized world health problem. Conventional screening approaches such as x-ray mammography, ultrasound and increasingly contrast-enhanced MRI are life saving to many women. However, the sensitivity and specificity of these modalities are still limited and there is clearly room for alternatives. Microwave imaging is a potentially important approach in this area ...


Detecting Overlapping Communities in Directed Networks Based on Link Similarity

2013 International Conference on Computational and Information Sciences, 2013

Identifying overlapping communities in networks has attracted increasing attention recently, but the most common approach to this problem has been to ignore the edge direction and apply the methods in undirected networks. In this paper, an overlapping communities detecting algorithm in directed networks is proposed whose partition communities as groups of links. The transcriptional regulatory network (TRN) of E. coli ...


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IEEE.tv Videos

IMS 2012 Microapps - Improve Microwave Circuit Design Flow Through Passive Model Yield and Sensitivity Analysis
95uW 802.11g/n compliant fully-integrated wake-up receiver with -72dBm sensitivity in 14nm FinFET CMOS: RFIC Industry Showcase 2017
Robotics History: Narratives and Networks Oral Histories: Petar Kokotovic
An 802.11ba 495μW -92.6dBm-Sensitivity Blocker-Tolerant Wake-up Radio Receiver - Renzhi Liu - RFIC 2019 Showcase
A 4x4x4 mm³ Fully Integrated Sensor-to-Sensor Radio - Li-Xuan Chuo - RFIC 2019 Showcase
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
Nanoscale Magnetism with Picosecond Time Resolution and High Sensitivity - Hendrik Ohldag - IEEE Magnetics Distinguished Lecture
WIRELESS TRANSCEIVER SYSTEM DESIGN FOR MODERN COMMUNICATION STANDARDS
Micro-Apps 2013: How to Make Your Designs More Robust
ASC-2014 SQUIDs 50th Anniversary: 6 of 6 - Kent Irwin - SQUIDs as detectors for cosmology
Implantable, Insertable and Wearable Micro-optical Devices for Early Detection of Cancer - Plenary Speaker, Christopher Contag - IPC 2018
A 4mW-RX 7mW-TX IEEE 802.11ah Fully-Integrated RF Transceiver: RFIC Industry Showcase 2017
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 3 of 7 - MEG and ULF-MRI
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 6 of 7 - A high sensitive magnetometer system for natural magnetic field measurements
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
2011 IEEE Medal for Innovations in Healthcare Technology - Harrison H. Barrett
Learning Lab for Chapter Recording and Distribution
Disruptive Internet of Things course, Part 3 - IEEE Smart Tech Workshop
Artificial Intelligence and Life in 2030
Robotics History: Narratives and Networks Oral Histories: Allison Okamura

IEEE-USA E-Books

  • 7A-4 A New Method for Enhancing Dynamic Vascular Patterns of Focal Liver Lesions in Contrast Ultrasound

    The differential diagnosis of focal liver lesions (FLL) frequently presents a dilemma, as FLL cannot be reliably characterized with conventional ultrasound. Recently, ultrasound contrast agents (UCA) and contrast-specific imaging methods have substantially improved the characterization of FLL. This was made possible by the known differences in dynamic vascular patterns (DVP) between healthy parenchyma and various FLL types, revealed by UCA. The purpose of this work was to develop a new method, called DVP processing, which provides a DVP- enhanced imaging mode of FLL using contrast ultrasound; this mode allows an improved differentiation of benign from malignant lesions. DVP processing consists in generating a sequence of images, where hyper-echoic and hypo- echoic pixels, compared to reference levels taken in healthy parenchyma, are coded over time in warm and cold colors, respectively. For example, a benign lesion remains hyper-echoic over time, while a malignant lesion is hyper- echoic in the arterial phase and turns into hypo-echoic in the portal phase. This method was implemented as an image-processing software program, which was the object of clinical evaluation. Sequences of 111 FLL were acquired with real-time low-MI contrast- specific ultrasound after a 2.5-mL bolus injection of SonoVuetrade, and subsequently analyzed off-fine with DVP processing. The sensitivity and specificity achieved by two clinical observers in this way were 92%, and 86%, respectively. These results reflect a significant improvement over accuracy scores achieved with contrast-enhanced ultrasound alone, having resulted in 93% and 82% in sensitivity and specificity, respectively.

  • A medical decision making system for predicting the probability of cardiac events in patients with residual ischemia after uncomplicated acute myocardial infarction

    The goal was to develop an integrated consultative system, able to store data relative to patients' clinical history and noninvasive diagnostic tests, retrieve them and perform a statistical analysis, and finally present to the physician the probability of a future cardiac event for the individual patient, with a definite sensitivity and specificity. In the clinical scenario of residual ischemia at the exercise stress test performed prior to hospital discharge for a first acute myocardial infarction, the physician must take relevant management decisions, sometimes in the presence of confusing results of noninvasive techniques. A consultative system, based on a logistic regression analysis, was developed to assist the cardiologist in the interpretation of clinical data and provocative tests in this critical setting. This system allows a 91.7% correct classification of high or low risk patients for future cardiac events.<<ETX>>

  • Second-trimester triple serum tests in women screening for down's syndrome: A meta analysis

    Objective: Systematically review the value of second-trimester triple serum tests screening for Down's syndrome by using meta analysis. Method: The literature on PubMed, Journal of Medicine Library, CNKI, Web of Knowledge from January 2000 to April 2014 concerning second-trimester Down's syndrome screening was retrieved by computer or by hand. The literature was evaluated based on the QUADAS quality evaluation standard. The basic fourfold table data were extracted from the literature. Statistical analysis was conducted by using SPSS and Meta-Disc1.4. Results: Altogether 166 related articles were retrieved. According to the standard of literature selection and QUADAS quality evaluation, eventually 14 articles were brought into research. The meta analysis results of second-trimester triple serum tests screening for Down's syndrome were as follows: the sensitivity was 77%, the specificity was 93%, + LR was 13.92,-LR was 0.26, DOR was 40.82, the AUC of SROC was 0.9133, and Q*= 0.8458. In addition, the results of subgroup analyses based on age showed that the pooled sensitivity of high age group is higher than low age group, which indicated that the second-trimester serum triple serum tests screening for Down's syndrome could achieve better results for advanced maternal age. Conclusion: The second-trimester triple serum tests screening for Down's syndrome had a certain sensitivity and specificity, but for the regions with good medical and health care, they could consider increasing the serum screening indexes or adding ultrasound screening method so as to further improve the detection rate of Down's syndrome children and reduce the false- positive rate.

  • Clinical microwave breast imaging — 2D results and the evolution to 3D

    The incidence of breast cancer and associated deaths are a recognized world health problem. Conventional screening approaches such as x-ray mammography, ultrasound and increasingly contrast-enhanced MRI are life saving to many women. However, the sensitivity and specificity of these modalities are still limited and there is clearly room for alternatives. Microwave imaging is a potentially important approach in this area because the tissue dielectric properties present important functional information which can be exploited to improve overall sensitivity and specificity in breast imaging. At Dartmouth College, our microwave breast imaging system is currently being used in pilot clinical studies for both tumor diagnosis and for monitoring treatment response during neoadjuvant chemotherapy. These early 2D imaging studies have demonstrated significance with respect to distinguishing tumors from normal tissue in the diagnostic mode and an ability to predict treatment response at a relatively early stage of treatment. The associated innovations and clinical results set a solid foundation as we advance towards full 3D imaging.

  • Detecting Overlapping Communities in Directed Networks Based on Link Similarity

    Identifying overlapping communities in networks has attracted increasing attention recently, but the most common approach to this problem has been to ignore the edge direction and apply the methods in undirected networks. In this paper, an overlapping communities detecting algorithm in directed networks is proposed whose partition communities as groups of links. The transcriptional regulatory network (TRN) of E. coli are used to evaluate the algorithm. Experimental results demonstrate that the algorithm proposed is efficient for detecting overlapping communities in directed networks.

  • Spectral analysis of high resolution ECG in study on late potentials

    Spectral analysis of high-resolution ECG based on fast Fourier transform and autoregressive estimation is discussed. The detectability of cardiac late potentials and prediction of ventricular tachyarrhythmias are compared using time and frequency analysis of ECG data of 120 patients after myocardial infarction. The quantification of spectrotemporal maps was proposed to simplify interpretation of results and to obtain numerical criteria for risk stratification of ventricular arrhythmias.

  • 2G-2 Tissue-Type Imaging (TTI) of Prostate Cancer Based on Ultrasonic and Magnetic-Resonance Methods: Latest Developments

    Our prostate tissue-typing studies seek to develop imaging methods that have high sensitivity and specificity for visualizing cancerous regions of the prostate to improve the effectiveness of biopsy guidance, therapy targeting, and treatment monitoring. Spectral parameters obtained from radio-frequency (RF) ultrasonic (US) echo signals acquired from biopsy regions, along with the PSA are used to train a neural-network classifier. This method produced an ROC curve area of 0.84 compared to 0.64 obtained from B-mode, image-based classification. We are investigating the integration of ultrasonic and magnetic resonance (MR) methods to further improve our prostate tissue-typing methods. To take advantage of the independent information provided by US and MR, data acquired from the two imaging modalities need to be co-registered spatially. Therefore, we are developing effective means of 3D spatial co- registration of US and MR data along with histological data used for validation

  • Nonparametric comparison of two tests of cardiac function on the same patient population using the entire ROC curve

    Typically a diagnostic algorithm based on a cardiac-function test uses a threshold on a parameter to separate normal from diseased patients. This threshold may be determined through discriminant analysis or through a fixed choice of sensitivity or specificity. A more global approach is to plot sensitivities versus specificities as the threshold varies over its range. Such a plot is the receiver operating characteristic (ROC) curve. The area under the curve provides a nonparametric measure of the ability of a test to separate the two populations. A methodology is presented for comparing two tests on the same patient population using the differences in ROC areas. The method is applied to nuclear ventriculography parameters in the same patients, a normal group of 40 and a group of 24 with coronary disease and visible apical dyskinesis. The variables of interest are the fast filling fraction (FFF), ejection fraction (EF), and phase (PH). In terms of ROC area, there is evidence that FFF and PH differ, and some evidence that EF and PH differ, but none that FFF and EF differ.<<ETX>>

  • Computer simulation of effect of bipolar electrode tip to ring spacing on P wave and far field R wave sensing in atrium

    Even though sensing ventricular and atrial signals for arrhythmia detection have been widely used in patients, there are issues that need to be resolved to optimize sensing. One of these issues is the detection of the far field R wave (EFRW) signal in the atria which can result in the delivery of inappropriate therapies. In the experimental setting, variables that affect near field atrial signal (P wave) and FFRW are difficult to separate. Few investigators have analyzed the issue of optimal bipolar electrode spacing for P/FFRW differentiation. A better understanding of the variables that effect P/FlFRW ratio is important for optimizing lead design and placement. In this paper, a theoretical model (see Weimin Sun and Xiaoyi Min, IEEE Trans. Biomed. Eng., vol. BME-44, p. 1237-42, 1997) of the sensed signal was utilized. This study focuses on the effect of bipolar electrode tip to ring spacing on P wave and FFRW amplitude and derivative as well as the P/FFRW ratio. Comparison between bipolar and unipolar sensing is also investigated. The model results show that the peak amplitude of P wave varies with the orientation of a bipolar electrode respect to the propagation direction of a wavefront and becomes plateau at tip to ring spacing of 10 mm or greater. However, the far field R wave amplitude increases with greater bipole spacing. Better acute signal to noise can be achieved with smaller bipole spacing. Bipolar signals have higher slew rate and comparable peak amplitude compared with unipolar signals.

  • Evaluation of the logarithmic-sensitivity index as a neural network stopping criterion for rare outcomes

    Rare outcomes are often difficult to classify using an automated neural network. The logarithmic-sensitivity index was introduced to optimize both sensitivity and specificity at the same time while slightly favouring sensitivity. This index succeeded in identifying the optimal stopping point when training an automated network to classify rare outcomes. The automated networks achieved equal or better classification performance than the manually-optimized networks. When the classification performance of the maximum log-sensitivity index is compared with networks whose stopping criteria are based on the highest correct classification rate or the lowest mean squared error, the log-sensitivity networks better classified the rare outcomes (higher sensitivity) while maintaining a sufficiently high specificity rate. This means that the log-sensitivity index is a valuable time-saving tool, because the networks can be run automatically without user supervision and classification performance is not compromised.



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