346 resources related to Cervical cancer
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IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.
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.
ICST 2018 is intended to provide a common forum for researchers, scientists, engineers and practitioners throughout the world to present their latest research findings, ideas, developments and applications in the area of sensing technology. ICST 2018 will include workshops, keynote addresses by eminent scientists as well as special, regular and poster sessions. All papers will be peer reviewed on the basis of a full length manuscript and acceptance will be based on quality, originality and relevance.
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.
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; ...
Telemedicine, teleradiology, telepathology, telemonitoring, telediagnostics, 3D animations in health care, health information networks, clinical information systems, virtual reality applications in medicine, broadband technologies, and global information infrastructure design for health care.
Measurements and instrumentation utilizing electrical and electronic techniques.
Science and technology related to the basic physics and engineering of magnetism, magnetic materials, applied magnetics, magnetic devices, and magnetic data storage. The Transactions publishes scholarly articles of archival value as well as tutorial expositions and critical reviews of classical subjects and topics of current interest.
2011 IEEE International Symposium on IT in Medicine and Education, 2011
Cervical cancer is a leading cause of cancer-related deaths in women worldwide which kills more than 288,000 of them each year. 80% of these deaths occur in the developing countries like India, where there are no well established screening programmes. For implementing an effective and optimal mass screening the quantity of false positive rates should be controlled. The artifacts present ...
2009 22nd IEEE International Symposium on Computer-Based Medical Systems, 2009
Persistent infections with carcinogenic human Papillomavirus (HPV) are a necessary cause for cervical cancer, which is the fifth most deadly cancer for women worldwide. Approximately 20 million Americans are currently infected with HPV but only a subset will develop cervical cancer. While a negative HPV test indicates a very low risk for cervical cancer, a positive test cannot discriminate between ...
4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000
For each patient receiving definitive treatment for cervix cancer, several CT/MR imaging studies need to be registered in order to specify the total physical or biological dose to each fixed tissue voxel in an organ system. This turns out to be a difficult problem due to large localized deformations and displacements of bladder, rectum, vagina, uterus and paracervical tissues due ...
Proceedings. 17th IEEE Symposium on Computer-Based Medical Systems, 2004
In this article, a technique for the automated registration of Cervigram/spl trade/ images will be introduced. The motivation for the development of such a technique is warranted by the fact that registration is often a first step to other, more sophisticated, algorithms useful in medical applications. Such algorithms are typically processes developed for the tracking and monitoring of patient health. ...
2010 Second International Conference on Computer Engineering and Applications, 2010
This papers reports on methodologies and outcome of a study aiming at developing robust tool to evaluate and classify histology images of cervical cancer. Using the histology images acquired from the pathology laboratories in an Indonesian hospital, this study aims to classify cervical biopsy images based on four well known discriminatory features a) the ratio of nuclei to cytoplasm b) ...
Big Data and Machine Learning in Cancer Genomics
IEEE Highlight: Electronic Nose: Diagnosing Cancer Through Smell
Implantable, Insertable and Wearable Micro-optical Devices for Early Detection of Cancer - Plenary Speaker, Christopher Contag - IPC 2018
Applying Control Theory to the Design of Cancer Therapy
Perpendicular magnetic anisotropy: From ultralow power spintronics to cancer therapy
Dean Kamen's Artificial Arm
Surgeons Got Game
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 5 of 7 - SQUID Instrumentation for Early Cancer Diagnostics
A Manhattan Project for the Prosthetic Arms Race
EMBC 2011 -Keynote (Women in Engineering Program) Re-engineering the War on Cancer: A Call to Action for Personalized Medicine -Mara G. Aspinall
Tapping the Computing Power of the Unconscious Brain
Feeding the Machine: The World's Most Sophisticated Artificial Stomach
Life Sciences Grand Challenge Conference - Phillip A. Sharp
Q&A with Dr. May Wang: IEEE Big Data Podcast, Episode 9
Magnetic Nanowires: Revolutionizing Hard Drives, RAM, and Cancer Treatment
The Rocket-Powered Prosthetic Arm
Playing Guitar Hero Without Hands
IEEE N3XT @ SXSW 2016: Laura Bosworth, Te Vido
Engineering Meets Biology in Tech News
Cervical cancer is a leading cause of cancer-related deaths in women worldwide which kills more than 288,000 of them each year. 80% of these deaths occur in the developing countries like India, where there are no well established screening programmes. For implementing an effective and optimal mass screening the quantity of false positive rates should be controlled. The artifacts present in a massive order which are similar in size and shape to abnormal cells would cause the misclassification of cytology images in the screening process. This increases the false positive rate which can hinder the mass screening. Therefore the elimination of these artifacts plays a key role in designing a proper Classification strategy for the malignancy detection from Cytology images. This paper, deals with a new Pattern Recognition strategy on detection and removal of artifacts in cervical cytology images using Support Vector Machine (SVM).
Persistent infections with carcinogenic human Papillomavirus (HPV) are a necessary cause for cervical cancer, which is the fifth most deadly cancer for women worldwide. Approximately 20 million Americans are currently infected with HPV but only a subset will develop cervical cancer. While a negative HPV test indicates a very low risk for cervical cancer, a positive test cannot discriminate between an innocuous transient infection and a prevalent cancer. Additional information such as HPV genotype and HPV viral load is thought to improve the predictive ability of which women will develop cervical cancer. The visual interpretation of hybridization-strip-based HPV genotyping results, however, is heterogeneous and poorly standardized. This has led to work toward the development of a robust automated image analysis package for HPV genotyping strips.
For each patient receiving definitive treatment for cervix cancer, several CT/MR imaging studies need to be registered in order to specify the total physical or biological dose to each fixed tissue voxel in an organ system. This turns out to be a difficult problem due to large localized deformations and displacements of bladder, rectum, vagina, uterus and paracervical tissues due to tumor regression, bladder and rectal filling variations, and especially insertion of the applicator itself. This paper explores the utility of using the fluid landmark image registration method to register images before and after insertion of the brachytherapy applicator in order to track radiation dose from one treatment to the next.
In this article, a technique for the automated registration of Cervigram/spl trade/ images will be introduced. The motivation for the development of such a technique is warranted by the fact that registration is often a first step to other, more sophisticated, algorithms useful in medical applications. Such algorithms are typically processes developed for the tracking and monitoring of patient health. The registration described in this article is segmentation- based and utilizes a combination of clustering- and active contour-based methodologies. The clustering algorithm is used to obtain an initial contour that will subsequently serve as initialization for an active contour. The active contour, in conjunction with various internal and external forces, should converge to a more precise segmentation of the region of interest which, in this application, is the cervix. Once the segmentations are completed, more traditional registration techniques, such as those of Fourier or correlation-based techniques, may be used to register the segmented images with more accuracy as the adverse effects stemming from the highly variable background features are no longer a source of error. For illustration purposes, the results from two patients are demonstrated at the end of this article.
This papers reports on methodologies and outcome of a study aiming at developing robust tool to evaluate and classify histology images of cervical cancer. Using the histology images acquired from the pathology laboratories in an Indonesian hospital, this study aims to classify cervical biopsy images based on four well known discriminatory features a) the ratio of nuclei to cytoplasm b) diameter of nuclei c) shape factor and d) roundness of nuclei. In this study, the cervical histology images are classified into three categories: 1) normal, 2) pre cancer and 3) malignant. The final system will take as input a biopsy image of the image of the cervix containing the epithelium layer and provide the classification using the new automated approach, to assist the pathologist in cervical cancer diagnosis.
A segmentation process which emulates the human method of screening cervical smears is presented. The scheme consists of two distinct stages, one at low magnification using water immersion segmentation, followed by a search based dual active contour method at high magnification. Each technique and the overall method is explained and examples are given.
Cervical cancer is an important problem. The incidence of cervical pre-cancer is increasing, and unless current diagnostic techniques are improved, mortality and cost may increase substantially. The goal of our project is to find the most cost-effective optical system for the detection of cervical pre- cancer. Our hypothesis is that using fluorescence spectroscopy, a new technique for detection of cervical cancer and pre-cancer, will maintain the current technique's sensitivity, increase its specificity, and reduce its cost. In this paper we present a new method to calculate the fluorescence efficiency (FE) of human cervical tissue, based on in vivo measurements of 381 sites from 95 patients. This value is used in signal to noise ratio (SNR) calculations to evaluate the performance of different optical systems for detection of cervical pre-cancer. We verify that the predicted SNR values, obtained using FE, agree with the SNR of the patient's spectral data. We use the resulting data to generate a receiver-operator characteristic (ROC) curve that compares spectroscopy to the current standard of care. Finally, preliminary results of our economic analysis estimate that use of fluorescence spectroscopy could save $2.1 billion annually in the US.
In this paper the method for the 3D computer simulation of SAR distribution during hyperthermia treatment of cervical cancers is presented. A gynealogical applicator for brachytherapy treatment acts as a hyperthermia intracavitar applicator. The numerical analysis is carried out by means of a technique incorporating adaptive grid refinement and multilevel relaxations.
Volumetric-modulated arc therapy(VMAT), as novel technology not only can produce similar or better dose distributions, but also can reduce treatment time and the monitor units (MU). However, VMAT can only be implement-ed on the new generation accelerators such as the Varian Rap-idArc and Elekta Synergy, which prevents most existing linacs from delivering in VMAT. The purpose of this study is to investigate using constant dose rate IMAT on conventional linear accelrator, by comparing with the IMRT technology to evaluate the performance of IMAT on thoracic esophageal carcinoma patients and then provide guidance for clinical treatment. The results show that thoracic esophageal carci-noma can be implemented IMAT plans on conventional Vari-an 23EX Linac for smoothly and quickly at busy cancer center. Comparing with the IMRT techonology IMAT plans can meet the clinical demand, gives comparable OAR and improved CI of PTV, can reduce treatment time and high dose irradiated volume, while increase the treatment MU and low dose irra-diated volume of healthy tissues and the volume of the lung V5 and V10. This point needs to pay attention to implementation in clinical.
This paper presents an application of multi-agent systems for gene expression analysis, the agents use statistical methods, machine learning and genomical information from external data bases to identify involved genes in cervical cancer process. The multi-agent system for gene expression analysis from reading of oligonucleotide microarray is integrated by five operational agents in charge of the fundamental processes of the system, and a manager who organizes and coordinates the work of the system. The agent platform are separated from procedures of statistical methods and machine learning in order to give independence and flexibility to the system.
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