Project Name	Stars	Repos Using This	Packages Using This	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Medicaldetectiontoolkit	1,249			3 months ago			44	apache-2.0	Python
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 dealing with medical images.
Batchgenerators	1,013	6	22	3 months ago	16	March 16, 2023	40	apache-2.0	Jupyter Notebook
A framework for data augmentation for 2D and 3D image classification and segmentation
Pytorch Medical Segmentation	536			2 years ago			3	mit	Python
This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.
Pymic	320			3 months ago	11	December 06, 2022	5	apache-2.0	Python

Learning To Segment 3d Point Clouds In 2d Image Space	188			8 months ago			10	mit	Python

3dmv	182			2 years ago			4	other	Python
[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation
Elektronn3	161		1	5 months ago	2	June 22, 2023	5	mit	Python
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
3d Mininet	156			a year ago			10		Python
Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
Squeeze_and_excitation	140			4 years ago			3	mit	Python
PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks
Acsconv	138		1	9 months ago	2	January 27, 2022		apache-2.0	Python
[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!

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Medicaldetectiontoolkit ⭐ 1,249

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 dealing with medical images.

most recent commit 3 months ago

Batchgenerators ⭐ 1,013

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

dependent packages 22total releases 16most recent commit 3 months ago

Pytorch Medical Segmentation ⭐ 536

This repository is an unoffical PyTorch implementation of Medical segmentation in 2D and 3D.

most recent commit 2 years ago

Pymic ⭐ 320

total releases 11most recent commit 3 months ago

Learning To Segment 3d Point Clouds In 2d Image Space ⭐ 188

most recent commit 8 months ago

3dmv ⭐ 182

[ECCV'18] 3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

most recent commit 2 years ago

Elektronn3 ⭐ 161

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

dependent packages 1total releases 2most recent commit 5 months ago

3d Mininet ⭐ 156

Official Implementation in Pytorch and Tensorflow of 3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

most recent commit a year ago

Squeeze_and_excitation ⭐ 140

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

most recent commit 4 years ago

Acsconv ⭐ 138

[IEEE JBHI] Reinventing 2D Convolutions for 3D Images - 1 line of code to convert pretrained 2D models to 3D!

dependent packages 1total releases 2most recent commit 9 months ago

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