histopathology Goto Github PK

slim

Interoperable web-based slide microscopy viewer and annotation tool

stackview

Interactive image stack viewing in jupyter notebooks based on ipycanvas and ipywidgets

stain-mixup

The repository provide augment function of "Stain mix-up: Unsupervised domain generalization for histopathology images"

stainlib

Python 3 library for the augmentation & normalization of H&E images

stain_adversarial_learning

Using adversarial feature learning and color augmentation to address the variability in histopathology images

stanosa

[Paper Implementation]Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.

statcharrms

:exclamation: This is a read-only mirror of the CRAN R package repository. StatCharrms — Statistical Analysis of Chemistry, Histopathology, and Reproduction Endpoints Including Repeated Measures and Multi-Generation Studies. Homepage: https://CRAN.R-project.org/package=StatCharrms

steroidogenicgenes

Steroidogenic genes in normal tissue vs Cancer

style-transfer-for-digital-pathology

Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation

survival-analysis-by-breast-cancer-slides

A backup for my undergraduate thesis.

svs-deidentifier

Strip potentially identifying label and macro images from Aperio SVS whole slide image files

syde522-data-challenge

Primary site classification in histopathology images

synthetic-image-model

Nuclear IHC enumeration: A digital phantom to evaluate the performance of automated algorithms in digital pathology

tcga_colorectal_histology_images

tcia_notebooks

Notebooks for working with The Cancer Imaging Archive datasets

the-application-of-vision-transformers-in-digital-pathology

tiatoolbox

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

tilgenpro

Python-based pipeline for tiles generation and pre-processing from digitized histopathological images.

tissueloc

Whole Slide Digital Pathology Image Tissue Localization

tissuumaps

TissUUmaps is a browser-based tool for fast visualization and exploration of millions of data points overlaying a tissue sample. TissUUmaps can be used as a web service or locally in your computer, and allows users to share regions of interest and local statistics.

tissuumapscore

TissUUmaps is a browser-based tool for fast visualization and exploration of millions of data points overlaying a tissue sample. TissUUmaps can be used as a web service or locally in your computer, and allows users to share regions of interest and local statistics.

torchstain

Stain normalization tools for histological analysis and computational pathology

training-resources

Resources for teaching/preparing to teach bioimage analysis

tutorials

CellProfiler tutorial pipelines and images

tutorials-1

ImageJ programming examples

ukbrest

ukbREST: efficient and streamlined data access for reproducible research of large biobanks

unet--nuclei-segmentation-for-histopathology-images

machine learning (unet architecture ) Nuclei Segmentation for Histopathology images

unim-hepatic-analysis

Unim test project. Detection of Hepatic Steatosis in Histopathology Images.

unsupervised-cell-level-visual-representation-learning-with-gan

This repositories is related to the paper: unsupervised learning for cell-level visual representation in histopathology images with generative adversarial networks

vim4path

Vim4Path: Self-Supervised Vision Mamba for Histopathology Images