Strong histopathological relevance patches for MSI vs. MSS classification
Yiqing Shen · Zenodo (CERN European Organization for Nuclear Research) · 2020
This is a subset of dataset "Histological images for MSI vs. MSS classification in gastrointestinal cancer, FFPE samples" CRC_DX[1]. For more details, please visit [1]. After a fused distillation, a neural network based framework will vote for the candidates for the histopathological strong relevance patches. We incorporate the morphology knowledge from pathologists to sort out the most representative samples and tag them to this subdata. The dataset has two labels i.e., MSIMUT_strong and MSS_strong. MSIMUT_strong : 28 307 patches. MSS_strong : 27 146 patches. [1] Histological images for MSI vs. MSS classification in gastrointestinal cancer, FFPE samples. https://doi.org/10.5281/zenodo.2530835