Dr. M. Emre Celebi (Computer Science, Louisiana State University in Shreveport)
Room: TASC 19204 West (hosted by: Ghassan Hamarneh)
Title: Advances in the Computer-Aided Diagnosis of Melanoma Based on Dermoscopy Image Analysis
Abstract: Malignant melanoma is one of the most rapidly increasing cancers in the world. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early. Dermoscopy, also known as epiluminescence microscopy, is a non-invasive skin imaging technique that uses optical magnification and either liquid immersion and low angle-of-incidence lighting or cross-polarized lighting, making subsurface structures more easily visible when compared to conventional clinical images. Dermoscopy allows the identification of dozens of morphological features, which reduces screening errors and provides greater differentiation among difficult lesions. However, it has been demonstrated that dermoscopy may actually lower the diagnostic accuracy in the hands of inexperienced dermatologists. Therefore, in order to minimize the diagnostic errors that result from the difficulty and subjectivity of visual interpretation, the development of computerized image analysis techniques is of paramount importance. In this talk, I will present an overview of the latest developments in this exciting subfield of medical image analysis and discuss its potential for the computer-aided diagnosis of melanoma.
Bio: M. Emre Celebi received his B.Sc. degree in Computer Engineering from the Middle East Technical University (Ankara, Turkey) in 2002. He received his M.Sc. and Ph.D. degrees in Computer Science and Engineering from the University of Texas at Arlington (Arlington, TX, USA) in 2003 and 2006, respectively. He is currently an Associate Professor and the founding director of the Image Processing and Analysis Laboratory in the Department of Computer Science at the Louisiana State University in Shreveport.
Dr. Celebi has actively pursued research in the field of image processing and analysis with an emphasis on medical image analysis and color image processing. He has worked on several projects funded by the US National Science Foundation (NSF) and National Institutes of Health (NIH) and published over 120 articles in premier journals and conference proceedings. He is an editorial board member of 5 international journals, reviews for over 80 international journals, and served on the program committee of more than 100 international conferences. He has been invited as speaker to several colloquia, workshops, and conferences, is the organizer of several workshops, and the editor of several journal special issues and books. He is a senior member of the IEEE and SPIE.