🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
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Updated
Jul 9, 2024 - Python
🔥 🚀 Blazingly fast pipeline for patch-based classification in whole slide images
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Read and write TIFF files
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
[ESWA 2023] Implementation of DSCA: A Dual-stream Network with Cross-attention on Whole-Slide Image Pyramids for Cancer Prognosis
Python library for processing whole slide images (WSIs) in sdpc format
CLI tool to run specimen-level inference on whole slide images
Python library for reading whole slide images in DICOM format
Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
Classification of whole-slide images based on tumor infiltrating lymphocyte grades using image-level labels
Python-based pipeline for tiles generation and pre-processing from digitized histopathological images.
Whole Slide Digital Pathology Image Tissue Localization
Cancer metastasis detection with neural conditional random field (NCRF)
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
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