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acdc2017

batchgenerators

A framework for data augmentation for 2D and 3D image classification and segmentation

kaapana

Kaapana (from the hawaiian word kaʻāpana, meaning “distributor” or “part”) is an open source toolkit for state of the art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging.

monai

AI Toolkit for Healthcare Imaging

nndetection

probabilistic_unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

prostate_segmentation

This project was carried out as part of the recruitment processs for a major AI company. The task was to implement a model for CG and PZ Prostate segementation on T2-weighted MR images. Project time were 7 days.

pytorch-mask-rcnn

trixi

Manage your machine learning experiments with Trixi - high-fashion and the pythonic way.