A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.
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Updated
May 24, 2024 - Python
A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.
A Point Transformer with Federated Learning for HER2 Status Prediction
Code to reproduce results of the Gigapixel Histopathological Image Analysis Using Attention-Based Neural Networks paper.
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
Preprocessing module for large 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
OpenSeadragon histology imaging demos
A pipeline to segment tissue from the background in histological images
Research Project at ISI ( Indian Statistical Institute ), Kolkata
Solution of Health Data Hack. Task is segmentation of colorectal cancer on high resoultion histological images,
MICCAI 2022: Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images
The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
Python library designed for tissue microenvironment spatial analysis
Lightweight image segmentation software for biological 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 Wählby, Ewert Bengtsson, Senior Member, IEEE, Christer Busch, and Ingrid B. Carlbom, Member, IEEE
adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.
Course assignment ~ Classification of breast cancer histology images using Convolutional Neural Networks
Our solution for BreastPathQ cancer cellularity challenge
Segmentation of histological images and fibrosis identification with a convolutional neural network
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