Colorectal Cancer Classification using PCA and Fisherface Feature Extraction Data from Pathology Microscopic Image
Fajri Rakhmat Umbara, Adiyasa Nurfalah · ISICO 2013 · 2013
Colorectal cancer is the one of variant cancer which can kill people on this earth. World Health Organization, from their websit e wrote about 608,000 people can get killed every year because of it. The variant of colorectal cancer such as lymphoma and carcinoma strikes colon from the inside and outside. Lymphoma can be found in white corpuscle and attack colon through lymphocytes, whereas carcinoma can attack the outer layer of colon. Early detection is needed to decrease the number of death because of this cancer. The study about colorectal cancer is to classified lymphoma, carcinoma, and normal colon. It is doing by using 198 pathology mi croscopic images data from Hasan Sadikin Hospital in Bandung, Indonesia. Feature extraction using PCA and Fisherface and each generate 2, 5, 10, 50, 100 features. The study compared these two methods and using WEKA to testing the accuracy.