Talks & Seminars
Computer-Aided Diagnosis (CAD): Application to Breast and Prostate Cancer
Mr. Anant Madabhushi, Department of Biomedical Engineering, Rutgers
Date & Time: January 19, 2005 14:00
Venue: Seminar Hall, CSE
According to the American Cancer Society, there will be nearly 600, 000 fatalities in the US in 2004 on account of different cancers, accounting in turn for nearly 25% of all deaths. Many cancers, including breast, cervical, colorectal, and prostate cancer are curable if detected early. Computer-aided diagnosis (CAD) refers to the use of computers in helping doctors recognize abnormal areas in a medical image. One goal of CAD is to increase the efficiency and effectiveness of cancer screening by using the computer as a second reader. The focus of this talk is to present some of our CAD related work for automatically detecting, diagnosing, and visualizing tumors. By combining sophisticated computer vision tools and volumetric image processing operators, along with intelligent machine learning methods we have developed accurate CAD systems for detecting breast and prostate cancer. Both these CAD systems have been validated on a number of clinical patient studies. The CAD results were compared with a ground truth obtained from histology and from expert segmentations. While the principal modalities discussed in this talk are ultrasound and MRI, the tools and methods described can be easily applied to other modalities and applications.
Speaker Profile:
Assistant Professor in Department of Biomedical Engineering, Rutgers The State University of New Jersey, New Brunswick, NJ. His research interests include Medical Image Processing and Computer Vision. For further details, please refer http://www.seas.upenn.edu/~anantm
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