histological-images
There are 22 repositories under histological-images topic.
PolarBean/DeepSlice
A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.
manuel-munoz-aguirre/PyHIST
A pipeline to segment tissue from the background in histological images
xmed-lab/OEEM
MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
ciccalab/SIMPLI
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
Zhengyushan/adaptive_color_deconvolution
adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
nauyan/NucleiSegmentation
The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
saadwazir/HistoSeg
HistoSeg is an Encoder-Decoder DCNN which utilizes the novel Quick Attention Modules and Multi Loss function to generate segmentation masks from histopathological images with greater accuracy. This repo contains the code to Test and Train the HistoSeg
jopo666/HistoPrep
Preprocessing module for large histological images
nadiabrancati/ABNN-WSI-Classification
Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.
boyden/PointTransformerFL
A Point Transformer with Federated Learning for HER2 Status Prediction
xhelenfu/CNN_Segmentation_Histology
Segmentation of histological images and fibrosis identification with a convolutional neural network
hbk16/nuclei_detection
The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.
Devnetly/Breast-Cancer-Classification
This repository contains some comprehensive approaches for the purpose of classifying breast cancer tissue using whole slide images (WSIs).
VGeorgii/Microsa
Python library designed for tissue microenvironment spatial analysis
donandjela/cnn_breast_cancer
Course assignment ~ Classification of breast cancer histology images using Convolutional Neural Networks
KevinKiambe/DeepHistopathology
Deep Learning breast histology microscopy image recognition using Convolutional Neural Networks
dsatyam09/Quantative-Analysis-of-normalized-image-in-Different-Color-Models.
Research Project at ISI ( Indian Statistical Institute ), Kolkata
hbk16/BreastPathQ
Our solution for BreastPathQ cancer cellularity challenge
isgilman/MiniContourFinder
Lightweight image segmentation software for biological images.
werserk/HealthDataHack
Solution of Health Data Hack. Task is segmentation of colorectal cancer on high resoultion histological images,
darwinjob/osd-demo
OpenSeadragon histology imaging demos
rahul8kushwaha/Blind_colour_decomposition_of_histological_image
The Project is an implementation of the paper Blind Color Decomposition of histological image IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 32, NO. 6, JUNE 2013 Milan Gavrilovic*, Member, IEEE, Jimmy C. Azar, Joakim Lindblad, Carolina Wählby, Ewert Bengtsson, Senior Member, IEEE, Christer Busch, and Ingrid B. Carlbom, Member, IEEE