Computational and Integrative Pathology

Computational and Integrative Pathology's repositories

BCSS

Use this to download all elements of the BCSS dataset described in: Amgad M, Elfandy H, ..., Gutman DA, Cooper LAD. Structured crowdsourcing enables convolutional segmentation of histology images. Bioinformatics. 2019. doi: 10.1093/bioinformatics/btz083

Language:PythonMIT130 4 17

SurvivalNet

Deep learning survival models

Language:PythonApache-2.0112 14 18

SCNN

Survival Convolutional Neural Networks

67 7 17

NuCLS

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation

Language:Jupyter NotebookMIT44 4 7

HistomicsML2

A tool for training machine-learning models with whole-slide imaging datasets

Language:JavaScript20 7 25

HistomicsML

An interactive machine learning framework for large histopathology images.

Language:JavaScript18 6 5

HiPS

Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis

Language:PythonMIT16 20

MuTILs_Panoptic

Amgad M, Salgado R, Cooper LA. A panoptic segmentation approach for tumor-infiltrating lymphocyte assessment: development of the MuTILs model and PanopTILs dataset. medRxiv 2022.01.08.22268814.

Language:PythonMIT800