Identify Metastatic Cancer
on Data science, Machine learning, Deep learning, Python, Healthcare
In this project, we 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.
Dataset Links Kaggle
Model Plot
Training and validation Loss
Training and validation Accuracy
Receiver operating characteristic (roc) curve
Classification Report
Confusion Matrix
