Awesome Active Learning For Medical Image Analysis
A paper list of active learning in medical image analysis and computer vision
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Deep Learning Drizzle | 10,767 | a year ago | 6 | HTML | ||||||
| Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! | ||||||||||
| Learning Deep Learning | 943 | 5 months ago | 1 | Jupyter Notebook | ||||||
| Paper reading notes on Deep Learning and Machine Learning | ||||||||||
| Medicaltorch | 724 | 3 years ago | 2 | November 24, 2018 | 14 | apache-2.0 | Python | |||
| A medical imaging framework for Pytorch | ||||||||||
| Robot Surgery Segmentation | 475 | 5 years ago | 11 | mit | Jupyter Notebook | |||||
| Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge | ||||||||||
| Miscnn | 338 | a year ago | 60 | February 11, 2022 | 55 | gpl-3.0 | Python | |||
| A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning | ||||||||||
| Xvision | 294 | 5 years ago | 1 | Python | ||||||
| Chest Xray image analysis using Deep learning ! | ||||||||||
| Cucim | 282 |  | 12 | 3 months ago | 32 | October 17, 2023 | 104 | apache-2.0 | Jupyter Notebook | |
| cuCIM - RAPIDS GPU-accelerated image processing library | ||||||||||
| Grand Challenge.org | 156 | 3 months ago | 32 | apache-2.0 | Python | |||||
| A platform for end-to-end development of machine learning solutions in biomedical imaging | ||||||||||
| Cuda_spatial_deform | 110 | 2 years ago | 5 | other | Cuda | |||||
| A fast tool to do image augmentation on GPU(especially elastic_deform), can be helpful to research on Medical Image. | ||||||||||
| Resunetplusplus With Crf And Tta | 106 | 7 months ago | 4 | Python | ||||||
| Official implementation of ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI) | ||||||||||
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