| dc.description.abstract | Colorectal is a type of malignant cancer that occurs on the surface of the large
intestine (colon) and the lower part of the intestine to the anus (rectum) due to
environmental influences and unhealthy lifestyles. The main function of the large
intestine is to reabsorb water and to secrete mucus which serves to lubricate and help
expel feces and gases. Colorectal cancer malignancy can attack anyone, from toddlers,
teenagers, and adults. Identification of colorectal cancer is still using hispathological
examination. Where this examination is a diagnostic act that is carried out by taking
samples of cells or tissues for analysis in the laboratory. The examination is still done
manually, namely using a microscope. In this way, a doctor who has the knowledge,
thoroughness and accuracy is needed. This inspection takes time and effort. Therefore
we need a way to help doctors identify colorectal cancer through microscopic images
of colorectal cancer so that the identification results obtained are more efficient and
have a better level of accuracy than manual identification. the identification process
using input data includes the number of epohs as much as 100, the number of hidden
layers of 3, the learning rate of 0.05. The test in this test uses colorectal tissue image
testing data with the file name IMG23. Produces not Normal identification results
with an accuracy of 80%, meaning that img23 is identified as not normal colorectal
tissue. | en_US |
