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.
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:
- The study of the dynamics of lamellipodia in spreading
cells.
- The study of regulatory networks in the development of
drosophila embryos.
- Detection of protein micro-crystals for X-ray
crystalography.
- 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.
--
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@cs.princeton.edu