Yoav Freund will be giving a talk this Friday, July 14 at 2:30pm in
room 402 of the CS building. Title and abstract follow below.
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Title: Using adaptive computer vision to analyze biomedical images
Speaker: Yoav Freund
Computer Science and Engineering, University of California, San
Diego
http://www.cse.ucsd.edu/~yfreund
Date: Friday, July 14, 2:30pm
Place: Room 402, CS building
Host: Rob Schapire
Abstract:
The rapid advancement of biomedical imaging techniques such as
fluorescence microscopy, non-linear optics, MRI and ultra-sound make
it now possible to observe the time evolution of mechanical and
biochemical processes in cells and in the human body at a resolution
unimaginable a decade ago. This ability to measure opens up an
incredible range of new possibilities for research in biology and in
medicine. However, a major challenge along the way is the
formidable amount of manual work required to extract meaningful
quantitative results from the enormous amounts of collected image data.
I suggest a combination of computer vision and machine learning
techniques to tackle such problems. In this talk I describe some of
my current work applying these ideas in several projects:
1. The study of the dynamics of lamellipodia in spreading cells.
2. The study of regulatory networks in the development of
drosophila embryos.
3. Detection of protein micro-crystals for X-ray crystalography.
4. Detection and grading of prostate cancer using microscope
images of biopsies.
I will conclude with some of the lessons I have learned from these
projects and some words on my current approach to automating image
analysis tasks.
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Princeton University
Department of Computer Science
35 Olden Street
Princeton, NJ 08540 USA
tel: +1 609 258 7726 fax: +1 609 258 1771
Computer Science Building, Room 407
http://www.cs.princeton.edu/~schapire
schapire(a)cs.princeton.edu
