Using k-means clustering to classify microscopic colon images

• Main Authors: Gan Lim, Laurence A., Naguib, Raouf N. G., Avila, Jose Maria C.
• Format: text
• Published: Animo Repository 2008
• Subjects: Colon (Anatomy)—Cancer—Imaging; Computer Engineering
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/6041
• Institution: De La Salle University

This study reports on the performance of k-means clustering technique in classifying microscopic images of colonic tissue. Prior to the applications of the k-means clustering algorithm, the images were classified by a human expert according to 3 categories: normal, adenomatous polyp, and adenocarcin...