Awesome Open Source

Programming Languages

Search results for histopathology whole slide imaging

histopathology x

whole-slide-imaging x

13 search results found

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

Tiatoolbox ⭐ 277

Computational Pathology Toolbox developed by TIA Centre, University of Warwick.

Dsmil Wsi ⭐ 224

DSMIL: Dual-stream multiple instance learning networks for tumor detection in Whole Slide Image

Slideflow ⭐ 193

Deep learning library for digital pathology, with both Tensorflow and PyTorch support.

Code for the paper " PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers "

Pathology Whole Slide Data ⭐ 69

A package for working with whole-slide data including a fast batch iterator that can be used to train deep learning models.

Tcga_segmentation ⭐ 57

Whole Slide Image segmentation with weakly supervised multiple instance learning on TCGA | MICCAI2020 https://arxiv.org/abs/2004.05024

Digitalhistopath ⭐ 23

Wsiprocess ⭐ 16

Whole Slide Image (WSI) Processing Library for Histopathological / Cytopathological Machine Learning Tasks

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

Wsi Preprocessing ⭐ 10

Simple library for preprocessing histopathological whole-slide images (WSI) into tiles (a.k.a. patches) towards deep learning

Patolojiatlasi.github.io ⭐ 8

Patoloji Atlası

Demo_wsi_superres ⭐ 8

WSISR: Single image super-resolution for Whole slide Imaging using convolutional neural networks and self-supervised color normalization.

Related Searches

Python Histopathology (23)

Python Whole Slide Imaging (17)

Whole Slide Imaging Computational Pathology (16)

Deep Learning Histopathology (14)

Deep Learning Whole Slide Imaging (14)

Slides Whole Slide Imaging (14)

Pathology Histopathology (14)

Histopathology Computational Pathology (13)

Pathology Whole Slide Imaging (12)

1-13 of 13 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.