| Popis: |
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. |
