histological-images

There are 2 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.
automation brain-imaging brainmap brainmaps deep-learning histological-images histology machine-learning neuroscience python
Language:Python 91
manuel-munoz-aguirre / PyHIST
A pipeline to segment tissue from the background in histological images
histological-images histology segmentation svs image-segmentation computational-pathology histopathology wsi
Language:Python 69
ciccalab / SIMPLI
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
cell-segmentation single-cell-analysis imaging-mass-cytometry immunofluorescence histological-images gating tissue-analysis tissue-classification histology bioimage-analysis bioimaging bioimage-tools bioimage-informatics mcd imc life-sciences-image ome-tiff image-analysis-workflows
Language:R 37
xmed-lab / OEEM
MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
weakly-supervised-segmentation gland-tissue-segmentation histological-images medical-imaging example-mining
Language:Jupyter Notebook 34
nauyan / NucleiSegmentation
The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
deep-learning medical-imaging histology histological-images histopathology-images histopathological-biopsy-images keras u-net tensorflow wsis
Language:Python 31
Zhengyushan / adaptive_color_deconvolution
adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
digital-pathology stain-normalization stain-separation stain-standardization color-normalization histological-images histopathological-image
Language:Python 31
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
monuseg monuseg-challenge histological-images histology-images segmentation semantic-segmentation attention-mechanism self-attention nuclie-segmentation dice-loss focal-loss medical-image-segmentation image-segmentation glas segmentation-models unet deeplab-v3-plus unet-segmentation histological-image-segmentation
Language:Python 23
jopo666 / HistoPrep
Preprocessing module for large histological images
openslide pathology pathology-image tissue-classification tissue-analysis histological-images medical-imaging medical-image-processing medical-image-analysis histological-slides slide-image preprocess cut
Language:Python 20
nadiabrancati / ABNN-WSI-Classification
Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.
whole-slide-image histological-images hematoxylin-eosin-staining attention-model
Language:Python 10
boyden / PointTransformerFL
A Point Transformer with Federated Learning for HER2 Status Prediction
federated-learning histological-images pathology point-cloud
Language:Python 8
xhelenfu / CNN_Segmentation_Histology
Segmentation of histological images and fibrosis identification with a convolutional neural network
segmentation convolutional-neural-networks machine-learning deep-learning deep-neural-networks histological-images histology cardiac-segmentation atrial-fibrillation fibrosis python tensorflow
Language:Python 6
Devnetly / Breast-Cancer-Classification
This repository contains some comprehensive approaches for the purpose of classifying breast cancer tissue using whole slide images (WSIs).
attention-models bracs breast-cancer-prediction hematoxylin-eosin-staining histological-images multi-instance-learning whole-slide-images gigapixel-images
Language:Python 5
hbk16 / nuclei_detection
The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.
pathology-image histological-images histopathology-images machine-learning
Language:Python 5
VGeorgii / Microsa
Python library designed for tissue microenvironment spatial analysis
histological-images spatial-analysis tissue-analysis extracellular-matrix data-analysis
Language:Python 4
donandjela / cnn_breast_cancer
Course assignment ~ Classification of breast cancer histology images using Convolutional Neural Networks
convolutional-neural-networks histological-images classification
Language:Jupyter Notebook 3
KevinKiambe / DeepHistopathology
Deep Learning breast histology microscopy image recognition using Convolutional Neural Networks
matlab deep-learning deep-neural-networks convolutional-neural-networks k-nearest-neighbor softmax-classifier histological-images microscopy-images classification supervised-learning gpu cuda support-vector-machines
Language:MATLAB 3
dsatyam09 / Quantative-Analysis-of-normalized-image-in-Different-Color-Models.
Research Project at ISI ( Indian Statistical Institute ), Kolkata
biomedical image-processing histological-images histological-normalization
Language:Jupyter Notebook 2
hbk16 / BreastPathQ
Our solution for BreastPathQ cancer cellularity challenge
pathology-image histological-images histopathology-images machine-learning deep-learning
1
isgilman / MiniContourFinder
Lightweight image segmentation software for biological images.
image-segmentation biology-images biology microscopy-images histological-images plants
Language:Jupyter Notebook 1
werserk / HealthDataHack
Solution of Health Data Hack. Task is segmentation of colorectal cancer on high resoultion histological images,
cancer deep-learning segmentation histological-images competition hackathon
Language:Jupyter Notebook 1
darwinjob / osd-demo
OpenSeadragon histology imaging demos
histological-images histology-images openseadragon deepzoom
0
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
blind color decomposition histological-images of
Language:Jupyter Notebook 0