Topic: computational-pathology Goto Github
Some thing interesting about computational-pathology
Some thing interesting about computational-pathology
computational-pathology,⚡ Open-source software for deep learning-based digital pathology
Organization: aican-research
computational-pathology,:star2: GPU-accelerated stain normalization command line tool
User: andreped
computational-pathology,🚀 H2G-Net: Segmentation of breast cancer region from whole slide images
Organization: andreped
computational-pathology,MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
User: bianhao123
computational-pathology,Pytorch-adaptation of GPU-accelerated StainTool's stain normalization algorithms
User: cielal
Home Page: https://cielal.github.io/torch-staintools/
computational-pathology,Lung Preneoplasia Progression via Pathomics
Organization: cpathology
computational-pathology,H&E ROI-Level and WSI-Level Nuclei Segmentation with HoVer-Net
Organization: cpathology
computational-pathology,Convert Slides/Images to Pyramidal TIFF Format
Organization: cpathology
computational-pathology,Cytomine-Core is the main web server implementing the Cytomine API
Organization: cytomine
Home Page: http://doc.cytomine.org
computational-pathology,Tools for computational pathology
Organization: dana-farber-aios
Home Page: https://pathml.org
computational-pathology,Code for our BVM workshop submission "Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays"
Organization: deepmicroscopy
computational-pathology,A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Organization: diagnijmegen
Home Page: https://diagnijmegen.github.io/pathology-whole-slide-data/
computational-pathology,Stain normalization tools for histological analysis and computational pathology
Organization: eidoslab
computational-pathology,[MICCAI'2022] CaPTion workshop: Active Data Enrichment by Learning What to Annotate in Digital Pathology
User: georgebatch
computational-pathology,Classification of lung tumor slide images with the NCI Imaging Data Commons
Organization: imagingdatacommons
computational-pathology,Bayesian Inference of Slide-level Confidence via Uncertainty Index Thresholding
User: jamesdolezal
computational-pathology,Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
User: jamesdolezal
Home Page: https://slideflow.dev
computational-pathology,Contains all research papers read since the end of July 2020 :+1:
User: jgamper
computational-pathology,:microscope: Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
User: jgamper
computational-pathology,GraphLSurv: A Scalable Survival Prediction Network with Adaptive and Sparse Structure Learning for Histopathological Whole-Slide Images
User: liupei101
Home Page: https://www.sciencedirect.com/science/article/pii/S0169260723001001
computational-pathology,OCELOT 2023: Cell Detection from Cell-Tissue Interaction
Organization: lunit-io
Home Page: https://ocelot2023.grand-challenge.org/
computational-pathology,HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images (ICCV 2019)
User: lyndonchan
computational-pathology,Atlas of Digital Pathology for Deep Learning [CVPR2019]
User: mahdihosseini
computational-pathology,Probeable DARTS with Application to Computational Pathology [ICCV2021]
User: mahdihosseini
computational-pathology,Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Organization: mahmoodlab
Home Page: http://clam.mahmoodlab.org
computational-pathology,Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Organization: mahmoodlab
computational-pathology,A pipeline to segment tissue from the background in histological images
User: manuel-munoz-aguirre
computational-pathology,Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
User: marvinler
computational-pathology,Python-based pipeline for tiles generation and pre-processing from digitized histopathological images.
User: miriamang
computational-pathology,
User: nauyan
computational-pathology,Histomic Prognostic Signature (HiPS): A population-level computational histologic signature for invasive breast cancer prognosis
Organization: pathologydatascience
computational-pathology,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.
Organization: pathologydatascience
Home Page: https://www.medrxiv.org/content/10.1101/2022.01.08.22268814v3
computational-pathology,Tools for tissue image stain normalisation and augmentation in Python 3
User: peter554
computational-pathology,PAIP2019: Liver Cancer Segmentation
User: pingjunchen
computational-pathology,Digital Pathology Whole Slide Image Analysis Toolbox
User: pingjunchen
Home Page: https://pyslide.readthedocs.io
computational-pathology,Suspicious Regions-Based Whole Slide Image Analysis
User: pingjunchen
computational-pathology,Rule-Based Thyroid Whole Slide Image Diagnosis
User: pingjunchen
computational-pathology,Whole Slide Digital Pathology Image Tissue Localization
User: pingjunchen
Home Page: https://tissueloc.readthedocs.io
computational-pathology,QuPath - Bioimage analysis & digital pathology
Organization: qupath
Home Page: https://qupath.github.io
computational-pathology,Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
User: richarizardd
computational-pathology,Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation
User: rikiyay
Home Page: https://arxiv.org/abs/2102.01678
computational-pathology,Python 3 library for the augmentation & normalization of H&E images
User: sebastianffx
computational-pathology,Reading list for Computational Pathology
User: talhaqaiser
computational-pathology,Reinforcement learning reading list (including medical image analysis papers )
User: talhaqaiser
computational-pathology,One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification
Organization: tissueimageanalytics
computational-pathology,Interpretable Gland-Graph Networks
Organization: tissueimageanalytics
computational-pathology,Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Organization: tissueimageanalytics
Home Page: https://warwick.ac.uk/tia
computational-pathology,Deep generative models for collagen fiber centerline segmentation and extraction in cancer tissue
Organization: uw-loci
computational-pathology,Graph neural networks for PDAC vs CP in histology
Organization: uw-loci
computational-pathology,Elm library providing encoder/decoder for automated slide analysis platform XML format (https://github.com/computationalpathologygroup/ASAP).
User: yujota
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