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Search results for histopathology
histopathology
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46 search results found
Clam
⭐
786
Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering
Pathml
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341
Tools for computational pathology
Hipt
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341
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Tiatoolbox
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277
Computational Pathology Toolbox developed by TIA Centre, University of Warwick.
Dsmil Wsi
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224
DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image
Slideflow
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193
Deep learning library for digital pathology, with both Tensorflow and PyTorch support.
Nucleisegmentation
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152
cGAN-based Multi Organ Nuclei Segmentation
Pathomicfusion
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148
Fusing Histology and Genomics via Deep Learning - IEEE TMI
Torchstain
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100
Stain normalization tools for histological analysis and computational pathology
Toad
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94
AI-based pathology predicts origins for cancers of unknown primary - Nature
Quilt1m
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80
[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.
Pdl
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72
Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "
Sish
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72
Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering
Pathology Whole Slide Data
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69
A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.
Histopathology Datasets
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65
Ressources of histopathology datasets
Tcga_segmentation
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57
Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024
Patch Gcn
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51
Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021
Self Supervised Vit Path
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50
Self-Supervised Vision Transformers Learn Visual Concepts in Histopathology (LMRL Workshop, NeurIPS 2021)
Pathology Gan
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47
Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'
Pathology He Auto Augment
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37
H&E tailored Randaugment: automatic data augmentation policy selection for H&E-stained histopathology.
Ssl_cr_histo
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32
Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.
Stainlib
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25
Python 3 library for the augmentation & normalization of H&E images
Digitalhistopath
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23
Acmil
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21
WSI classification
Champkit
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21
Benchmarking toolkit for patch-based histopathology image classification.
Kat
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19
The code for Kernel attention transformer (KAT)
Histomorphological Phenotype Learning
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18
Corresponding code of 'Quiros A.C.+, Coudray N.+, Yeaton A., Yang X., Chiriboga L., Karimkhan A., Narula N., Pass H., Moreira A.L., Le Quesne J.*, Tsirigos A.*, and Yuan K.* Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unlabeled, unannotated pathology slides. 2023'
Unitopatho
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18
Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198
Wsiprocess
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16
Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks
Mixed_supervision
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13
MICCAI2022: Multiple Instance Learning with Mixed Supervision in Gleason Grading.
C2c
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12
Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.
Adversarial Learning Of Cancer Tissue Representations
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11
Corresponding code of 'Quiros, A. C., Coudray, N., Yeaton, A., Sunhem, W., Murray-Smith, R., Tsirigos, A., Yuan, K. Adversarial learning of cancer tissue representations. The 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2021'
Wsi Preprocessing
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10
Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning
Graph V Net
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9
A Hierarchical Graph V-Net with Semi-supervised Pre-training for Breast Cancer Histology Image Classification" (IEEE TMI)
Patolojiatlasi.github.io
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8
Patoloji Atlası
Pyspatialhistologyanalysis
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8
Package using StarDist and Python that performs object detection and spatial analysis on H&E images
Deep_learning_for_liver_nas_and_fibrosis_scoring
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8
Repository for the publication "Deep learning enables pathologist-like scoring of NASH models"
Demo_wsi_superres
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8
WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.
Pado
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8
PAthological Data Obsession - cloud native digital pathology datasets
Mustang
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7
Multi-stain graph self attention multiple instance learning for histopathology Whole Slide Images - BMVC 2023
Learning A Low Dimensional Manifold Of Realcancer Tissue
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6
Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Learning a low dimensional manifold of real cancer tissue with PathologyGAN 2020'.
Pythostitcher
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6
Python tool for stitching histopathology tissue fragments into artificial whole-mounts.
Dmtnet Crch
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6
Official Implementation of our paper "Supervision meets Self-Supervision: A Deep Multitask Network for Colorectal Cancer Histopathological Analysis" [Best Paper Award at MISP 2022]
Fp Dsa Plugin
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5
Digital Slide Archive plugin to enable FAST deployment of pretrained CNNs for digital pathology
Histopathologic Cancer Detection
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5
Kaggle Competition: Identify metastatic tissue in histopathologic scans of lymph node sections
Breast Epithelium Segmentation
⭐
5
🌸 Breast epithelium segmentation through IHC-guided supervision
Related Searches
Python Histopathology (39)
Deep Learning Histopathology (28)
Histopathology Whole Slide Imaging (15)
Pathology Histopathology (14)
1-46 of 46 search results
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