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Top 10 medical-image-computing open source projects

AI Toolkit for Healthcare Imaging

✭ 2,568

python C++Cuda deep-learning pytorch medical-image-computing medical-image-processing healthcare-imaging monai

WolfPACS is an DICOM load balancer written in Erlang.

✭ 1

erlang python machine-learning router ai communication worker ml dicom load-balancer artificial-intelligence medical pacs medical-image-computing radiology load-balancing multiple-workers

A collection of deep learning models with a unified API.

✭ 59

python deep-neural-networks deep-learning artificial-intelligence medical-imaging artificial-neural-networks medical-image-computing medical-image-processing

Fast-WSI-Prediction

Unofficial implementation for ScanNet (a fast WSI prediction method) in PyTorch.

✭ 20

python shell deep-learning pytorch medical-image-computing classification-task whole-slide-image pathological-images

Constrained Large Deformation Diffeomorphic Image Registration (CLAIRE)

✭ 30

C++Cuda c shell CMake Makefile parallel-computing medical-image-computing image-registration

2D Fourier Transform of Nuclear Magnetic Resonance Imaging raw data

✭ 13

C++c physics medical-imaging computational-physics fft fftw medical-image-computing mfc medical-image-processing nmri

cornerstone widget

A jupyter widget for the cornerstone library to make showing flashy images with nice tools easier.

✭ 25

python Jupyter Notebook javascript shell jupyter widgets medical-imaging medical-image-computing ipywidgets binder-ready cornerstonejs

grouped-ssd-pytorch

PyTorch implementation of Grouped SSD (GSSD) and GSSD++ for focal liver lesion detection from multi-phase CT images (MICCAI 2018, IEEE TETCI 2021)

✭ 36

python shell deep-learning pytorch ssd object-detection medical-image-computing medical-images single-shot-multibox-detector medical-diagnostics liver-disease liver-disease-prediction

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

✭ 355

python detection medical medical-imaging medical-image-computing 3d-object-detection pytorch-implementation retina-unet

Paper notes in deep learning/machine learning and computer vision

✭ 37

machine-learning research computer-vision deep-learning tensorflow pytorch generative-adversarial-network gan image-classification image-recognition object-detection papers medical-image-computing semantic-segmentation instance-segmentation image-caption papanoptic-segmentation

1-10 of 10 medical-image-computing projects