Repository Index

Segment Anything in Medical Images

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

• segmentation
• deep-learning
• pytorch
• medical-imaging

Train AI models efficiently on medical images using any framework

• pytorch
• deep-learning
• keras
• neuroimaging

Open source tools for computational pathology - Nature BME

• histopathology
• pathology
• weakly-supervised-learning
• whole-slide-imaging

⚡High Performance DICOM Medical Image Parser in Go.

• dicom
• dicom-images
• golang
• golang-library

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.

• histopathology-images
• microscopy
• sliding-windows
• medical-image-analysis

Kaapana 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. The name Kaapana comes from the Hawaiian word kaʻāpana, meaning "distributor" or "part".

• imaging
• ai
• cloud-computing
• medical-imaging

Classification and Gradient-based Localization of Chest Radiographs using PyTorch.

• fine-tuning
• vgg16
• resnet18
• densenet121