colorectal-cancer

There are 2 repositories under colorectal-cancer topic.

DebeshJha / GastroVision
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection https://drive.google.com/drive/folders/1T35gqO7jIKNxC-gVA2YVOMdsL7PSqeAa?usp=sharing
classification colorectal colorectal-cancer gastrointestinal gastrointestinal-bleeding gastrointestinal-diseases gastrointestinal-pathologies polyps ulcerative-colitis gastroenterology open-access
Language:Python 30
DebeshJha / PolypGen
A multi-centre polyp detection and segmentation dataset for generalisability assessment https://www.nature.com/articles/s41597-023-01981-y
dataset polyp-detection polyp-segmentation colon-cancer colonoscopy colorectal-cancer medical-application medical-image-analysis medical-imaging polyp polyps polyp-dataset polyp-delination
13
bupt-ai-cz / Label-Noise-Robust-Training
Noise Robust Learning with Hard Example Aware for Pathological Image classification
noisy-labels pathology-image image-classification digestpath colorectal-cancer cnn-model deep-learning pytorch-implementation
Language:Python 6
soumitri2001 / DMTNet-CRCH
Official Implementation of our paper "Supervision meets Self-Supervision: A Deep Multitask Network for Colorectal Cancer Histopathological Analysis" [Best Paper Award at MISP 2022]
deep-metric-learning computer-vision self-supervised medical-imaging colorectal-cancer histopathology deep-learning pytorch
Language:Python 6
anjunatarajan / Colorectal-Cancer-Survival-Analysis-MSK
This repository contains all machine learning and statistical models used to analyze the landscape of colorectal cancer.
cbioportal cancer-genomics cancer-research cancer machine-learning statistical-analysis colorectal-cancer genomics
Language:R 2
ionut-d / TCGA-data-mining-Wnt-CRC
UNSUPERVISED MACHINE LEARNING (CLUSTERING): TCGA data mining for studying the system of interactions between sub-branches of Wnt signalling pathway in colorectal cancer
tcga hierarchical-clustering unsupervised-machine-learning signalling wnt colorectal-cancer data-mining
Language:R 2
lely475 / CTPLab_SemiCOL2023
DL-model for multi-class tissue segmentation in colorectal cancer H&E slides, developed as part of the SemiCOL2023 Challenge.
colorectal-cancer histopathology histopathology-image-analysis multi-task-learning tissue-segmentation
Language:Python 2
phoebe2199 / crc-diagnosis-app
Diagnosing colorectal cancer from histopathology images using deep learning: final project code.
colorectal-cancer keras-tensorflow cnn-classification
Language:HTML 2
BehshadR / Colorectal-Cancer-Histology-Transfer-Learning-and-Fine-Tuning
Transfer learning & fine-tuning in Tensorflow for classification of textures in colorectal cancer histology
colorectal-cancer convolutional-neural-networks fine-tuning image-classification transfer-learning deep-learning tensorflow computer-vision
Language:Jupyter Notebook 1
DanielCorralesAlonso / CRC_Risk_BN
Colorectal cancer risk mapping through Bayesian Networks
bayesian-learning bayesian-networks colorectal-cancer risk-stratification
Language:Python 1
sidmall / PDSclassifier
cancer classification classification-algorithims colorectal-cancer pathway subtyping
Language:R 1
ala-sk98 / CDC
Colorectal Disease Classification Using ResNet and ResNeXt
cancer-classification computer-vision resnet resnext cancer-detection colorectal-cancer pytorch
Language:Jupyter Notebook 0
graysoncroom / Colorectal-Cancer-Detector
Determines if a given Colorectal tissue image is cancerous or healthy using methods from Topology for the input embedding (TDA).
colorectal-cancer ml mnist-classification tda
Language:TeX 0
HuzeyfeAyaz / CRC_Prediction_with_Immune_SNP_Profiles
The goal of this analysis is to explore the machine learning-based automatic diagnosis of colorectal patients based on the single nucleotide polymorphisms (SNP). Such a computational approach may be used complementary to other diagnosis tools, such as, biopsy, CT scan, and MRI. Moreover, it may be used as a low-cost screening for colorectal cancers
colorectal-cancer snp snp-profiles colon-cancer machine-learning ml
Language:Jupyter Notebook 0
nedaghohabi / CRC-Microbiome-Classification
Prediction of colorectal cancer (CRC) phenotype based on Microbiome Metagenomics
cancer-prediction classification-algorithm colorectal-cancer microbiome
Language:Jupyter Notebook 0
soumitri2001 / SnapEnsemFS
Based on our paper "SnapEnsemFS: A Snapshot Ensembling-based Deep Feature Selection Model for Colorectal Cancer Histological Analysis" published in Scientific Reports, Nature (2023).
colorectal-cancer deep-learning feature-selection medical-imaging nature scientific-reports snapshot-ensemble swarm-intelligence
Language:Python 0
sykhro / cancol-analysis
bioinfomatics notebook-jupyter colorectal-cancer pathway-analysis
Language:Jupyter Notebook 0
amatov / DiseaseDetectionUrine
alzheimers-disease amyotrophic-lateral-sclerosis cardiovascular-diseases colorectal-cancer huntingtons-disease pancreatic-cancer random-forest-classifier multivariate-data-analysis support-vector-classification osteoarthritis lung-cancer max-min-criterion maximization-of-mutual-information minimax-rate-optimal-estimator osteoarthritis-severity-detection cancer-of-the-uterus cervical-cancer breast-cancer prostate-cancer multiple-myeloma
Language:R
SamuelBernard4 / Epigenetic-Modeling-for-Cancer-Detection
Combining epigenetic modeling with machine learning for colorectal cancer detection
ai bioinformatics-pipeline colorectal-cancer fastq genomics machine-learning
Language:Python