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The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on deal...
u-net
3d-models
detection
mask-rcnn
retina-net
pytorch-cnn
retina-unet
3d-mask-rcnn
segmentation
deep-learning
medical-imaging
object-detection
3d-object-detection
deep-neural-networks
pytorch-deeplearning
semantic-segmentation
medical-image-analysis
pytorch-implementation
medical-image-computing
medical-image-processing
Created
2018-10-12
41 commits to master branch, last one 2 years ago
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 wer...
Created
2021-05-17
205 commits to main branch, last one 3 months ago