As the number of cancer patient increase day by day, we can
only take control with the help of early stage cancer detection.
We use deep learning techniques to build and train the
models. The whole slide image is a higher resolution image.
We proposed two methods for semantic segmentation of
WSIs in liver. The methods are U-Net and Auto Encoder.
Semantic segmentation is applied to identify the tumor with
the given WSIs. We were able to segment the viable tumor