pymiapymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
DAF3DDeep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound
DeepAtlasJoint Semi-supervised Learning of Image Registration and Segmentation
covid19.MIScnnRobust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data
DOSMAAn AI-powered open-source medical image analysis toolbox
ACSConv[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!
CCDCode for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]
GaNDLFA generalizable application framework for segmentation, regression, and classification using PyTorch
pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
Radiomics-research-by-using-PythonRadiomics (here mainly means hand-crafted based radiomics) contains data acquire, ROI segmentation, feature extraction, feature selection, machine learning modeling, and stastical analysis.