pathology-image
There are 37 repositories under pathology-image topic.
BMIRDS/deepslide
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
nadeemlab/DeepLIIF
Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23, MICCAI'24]
gatsby2016/Augmentation-PyTorch-Transforms
Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.
rezazad68/TMUnet
Contextual Attention Network: Transformer Meets U-Net
Borda/BIRL
BIRL: Benchmark on Image Registration methods with Landmark validations
jgamper/compay-syntax
:microscope: Syntax - the arrangement of whole-slide-images and their image tiles to create well-formed computational pathology pipelines.
razvanmarinescu/brain-coloring
BrainPainter - Brain Visualisation Software
sdw95927/pathology-images-analysis-using-CNN
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
PingjunChen/tissueloc
Whole Slide Digital Pathology Image Tissue Localization
dazhangyu123/ACMIL
WSI classification
MHMAILab/auto_lymph
Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning
Zhengyushan/kat
The code for Kernel attention transformer (KAT)
jopo666/HistoPrep
Preprocessing module for large histological images
steven22tom/LabelSlide
LabelSlide is a slide annotation tool and label object bounding boxes in virtual slides (generally used in pathology)
smujiang/WSI2DICOM
Simple prototype of converting whole slide image (WSI) to multiframe DICOM images
bupt-ai-cz/Label-Noise-Robust-Training
Noise Robust Learning with Hard Example Aware for Pathological Image classification
cpathology/NucleiSegHE
H&E ROI-Level and WSI-Level Nuclei Segmentation with HoVer-Net
hbk16/nuclei_detection
The nuclei detection method on histology image proposed in the 2017 paper by Peikari et al.
alibalapour/Compact-SiT
Compact Self-Supervised Vision Transformer (cSiT) on Histopathology Images
elijahedmondson/QuPath-scripts
A collection of groovy scripts for digital pathology
jaiprakash1824/VLM_Adv_Attack
In the dynamic landscape of medical artificial intelligence, this study explores the vulnerabilities of the Pathology Language-Image Pretraining (PLIP) model, a Vision Language Foundation model, under targeted attacks like PGD adversarial attack.
RhDm/dogsled
Macenko normalisation of big medical slides
superizer/pypath
Python library for pathology image analysis
rhong3/Panoptes
A multi-resolution CNN to predict endometrial cancer features
rhong3/panoptes-he
A multi-resolution CNN package to predict endometrial cancer features
Atharva-Shah-2298/DLS
The repository has scripts and notebooks to train generative models. We specifically aim to train histo-pathology images which are protected under HIPAA law, to make a robust dataset for future pathology computer vision endeavors.
BMDSoftware/MMIR
MMIR: Multimodal Image Registration
cpathology/LungEvolutionPathomics
Lung Preneoplasia Progression via Pathomics
hbk16/BreastPathQ
Our solution for BreastPathQ cancer cellularity challenge
QBRC/pathology-images-analysis-using-CNN
Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area
reshalfahsi/contrastive-ssl-pathology
Self-Supervised Contrastive Learning for Colon Pathology Classification
CPUriarte/TFM
MC2 master's thesis repository.
peterlipan/Awesome-Multi-instance-Learning-for-Whole-Slide-Images
A curated list of awesome Multi-instance Learning frameworks for Whole Slide Images (WSIs) classification, segmentation, etc.
SamyakJhaveri/PROJECTMD
A speedy Android app system that efficiently delivers diagnostic information written by pathologists to their fellow doctors. Won First Prize at IETE's Inter-college Competition from amongst 130+ teams