Overview / Usage

In this competition, you must create an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset (the original PCam dataset contains duplicate images due to its probabilistic sampling, however, the version presented on Kaggle does not contain duplicates).

Methodology / Approach

1. Densenet121
2. Densenet201
3. MobileNet

and final ensembling

Technologies Used

Python,Pytorch,Fastai

Repository

https://github.com/ucalyptus/Kaggle-Histopathological-Cancer-Detection-Challenge

Other links

• Kaggle Competition
• Project Site