Image Processing and Cancer Detection


This problem set is designed to demonstrate the advances in cancer detection research made possible through the application of image processing techniques.


Histopathological Sections

Digital Analysis

Statistical Analysis

Classification of Nuclei

Sub-visual Information

"Chemo-prevention" vs. Chemotherapy

Test Yourself (2 problems)

Cancer diagnoses are usually based on visual recognition of abnormal cells and tissues harvested from biopsies. Recent advances in quantitative histopathology have made possible a much more exact means by which tumors can be evaluated. Once the "aggressiveness" of a lesion has been assessed, a highly specific plan can be developed to optimize patient treatment.

The Biology Project
University of Arizona
March 25, 1997
All contents copyright © 1998. All rights reserved.