Tissue Evaluation, Detection and Measuring Morphological Characteristics of Cell Regions in Histological images
Veena I. Patil, Suvarna Laxmikant Kattimani, Pooja Hundekar · 2020 IEEE Bangalore Humanitarian Technology Conference (B-HTC) · 2020
This paper discusses about the accurate, automatic method which differentiates between cancerous and noncancerous images. The images considered here are uterus microscopic images, microscopic images are called histological images. As thousands of samples are taken every day, it is difficult for the medical team to evaluate each and every samples manually. The aim of this project is to help medical team to differentiate between cancerous and non-cancerous images automatically. To differentiate between cancerous and non-cancerous images, the model is built using convolution neural network (CNN). This model classifies between cancerous and non-cancerous images automatically.