Topic: histological-images Goto Github
Some thing interesting about histological-images
Some thing interesting about histological-images
histological-images,A Point Transformer with Federated Learning for HER2 Status Prediction
User: boyden
histological-images,SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
Organization: ciccalab
Home Page: https://github.com/ciccalab/SIMPLI/wiki
histological-images,OpenSeadragon histology imaging demos
User: darwinjob
histological-images,Course assignment ~ Classification of breast cancer histology images using Convolutional Neural Networks
User: donandjela
histological-images,Research Project at ISI ( Indian Statistical Institute ), Kolkata
User: dsatyam09
histological-images,Our solution for BreastPathQ cancer cellularity challenge
User: hbk16
histological-images,The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.
User: hbk16
histological-images,Lightweight image segmentation software for biological images.
User: isgilman
histological-images,Preprocessing module for large histological images
User: jopo666
histological-images,Deep Learning breast histology microscopy image recognition using Convolutional Neural Networks
Organization: kevinkiambe
histological-images,A pipeline to segment tissue from the background in histological images
User: manuel-munoz-aguirre
histological-images,Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.
User: nadiabrancati
histological-images,The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
User: nauyan
histological-images,A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.
User: polarbean
Home Page: https://www.deepslice.com.au
histological-images,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 Wรคhlby, Ewert Bengtsson, Senior Member, IEEE, Christer Busch, and Ingrid B. Carlbom, Member, IEEE
User: rahul8kushwaha
histological-images,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
User: saadwazir
histological-images,Python library designed for tissue microenvironment spatial analysis
User: vgeorgii
histological-images,Solution of Health Data Hack. Task is segmentation of colorectal cancer on high resoultion histological images,
User: werserk
Home Page: https://codenrock.com/contests/hackhealth#/
histological-images,Segmentation of histological images and fibrosis identification with a convolutional neural network
User: xhelenfu
histological-images,MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
Organization: xmed-lab
histological-images,adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
User: zhengyushan
Home Page: http://zhengyushan.github.io
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