Topic: "tissue-classification"
ciccalab/SIMPLI
SIMPLI is a highly configurable pipeline for the analysis of multiplexed imaging data.
Language: R - Size: 45.2 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 4

jopo666/HistoPrep
Preprocessing module for large histological images
Language: Python - Size: 27.7 MB - Last synced at: 19 days ago - Pushed at: almost 2 years ago - Stars: 20 - Forks: 6

4e0n/octopus-reel
"Octopus Realtime Encephalography Lab" is the (hard) real-time networked EEG-lab framework I have developed during my PhD Thesis at Brain Research Lab of Hacettepe University Faculty of Medicine Biophysics Lab. It is meant to be a holistic golden-standard solution for all tasks of cortical source localization/networking, brain-computer interfaces and neuro-feedback applications.
Language: C++ - Size: 1.95 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 7 - Forks: 4

medgift/PROCESS_L1
UC1 for PROCESS-project. The use case tackles cancer detection and tissue classification on the latest challenges in cancer research using histopathology images, such as CAMELYON and TUPAC.
Language: Python - Size: 4.78 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 4

siddh30/Histopathologic-Cancer-Detection Fork of ruchawaghulde/Histopathologic-Cancer-Detection
A Deep Learning project to classify whether a tumor in tissues is 'Malignant' or 'Benign'. This project aims at incorporating AI in detecting cancer at premature stages helping doctors save more lives.
Language: Python - Size: 6.33 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0

canfkoyuncu/TwoTierTissueClassification
Two-Tier Tissue Decomposition for Histopathological Image Representation and Classification
Language: Matlab - Size: 1.16 MB - Last synced at: about 2 months ago - Pushed at: about 8 years ago - Stars: 2 - Forks: 1

SohhamSeal/The-Neural-Crest-Game
Originally developed for scientific outreach presentation at the SFBD-JSDB Conference 2022 held at Strasbourg.
Language: CSS - Size: 284 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

smujiang/TumorStromaReaction
Quantitatively evaluate tumor stroma reaction within ovarian cancers, and establish assocaitaions to prognosis, molecular signatures.
Language: Python - Size: 18.3 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

cjrobinson8/Complex-Wound-Analysis-using-AI
Repository for publication outlining a number of computational models for complex wound analysis in both mice and humans.
Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

tuguiMAtei/Complex-Wound-Analysis-using-AI
Repository for publication outlining a number of computational models for complex wound analysis in both mice and humans.
Size: 1.95 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

john-fante/bladder-tissue-classification
Bladder Tissue Classification w/ViT (F1 Scr: 0.82)
Language: Jupyter Notebook - Size: 1.45 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
