Medical Image Informatics: Techniques for Computer-Aided Diagnosis and Content-Based Image Retrieval

ABSTRACT: Medical Image Informatics (MII) is a subspecialty of Biomedical Informatics that aims to improve the efficiency, accuracy, usability, and reliability of medical imaging applications within the healthcare enterprise. Computer-aided Diagnosis (CAD) and Content-based Image Retrieval (CBIR) are two important applications in MII. The goal of a CAD system is to provide a second opinion to help physicians in diagnosis. CBIR systems are focused on information retrieval and are designed to support the process of diagnosis based on examples with known diagnosis. Both systems are based on techniques for digital image processing and pattern recognition. This seminar will present several image processing and pattern analysis techniques for CAD and CBIR applications in radiology and dermatology. Paulo Mazzoncini de Azevedo-Marques is an Associate Professor of Medical Physics and Biomedical Informatics with the Internal Medicine Department, University of São Paulo (USP), School of Medicine, in Ribeirão Preto, SP, Brazil. He received his B.Sc. and M.Sc. degrees in Electrical Engineering in 1986 and 1990, respectively, and his Ph.D. in Applied Physics in 1994, from USP. He has previously worked on medical imaging quality control. His current research projects are mainly focused on imaging informatics in medicine. He held a research associate position at the University of Chicago in 2001, where he worked on medical image processing for computer-aided diagnosis (CAD) and content-based image retrieval (CBIR), under the supervision of Professor Kunio Doi. He is the coordinator of the Medical Physics and Biomedical Informatics facility at the University Medical Center at Ribeirão Preto Medical School and is the elected Vice-President of the Brazilian Health Informatics Association (SBIS) for 2015-2016. His main areas of interest are CAD, CBIR, and picture archival and communication systems (PACS). For further information contact Professor Raj Rangayyan ranga@ucalgary.ca

Location:

INFORMATION & COMMUNICATION TECHNOLOGY BUILDING 516

More information at http://www.ucalgary.ca/events/calendar/medical-image-informatics-techniques-computer-aided-diagnosis-and-content-based-image