Spbl_pytorch
PyTorch implementation of "Self-Paced Balance Learning for Clinical Skin Disease Recognition"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Segan | 127 | 6 years ago | 7 | mit | Python | |||||
| SegAN: Semantic Segmentation with Adversarial Learning | ||||||||||
| Semanticsegmentation | 122 | a year ago | 1 | mit | Python | |||||
| A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation | ||||||||||
| Spbl_pytorch | 42 | a year ago | 1 | mit | Python | |||||
| PyTorch implementation of "Self-Paced Balance Learning for Clinical Skin Disease Recognition" | ||||||||||
| Skin Data Augmentation | 37 | 5 years ago | 1 | Python | ||||||
| Source code for the paper 'Data Augmentation for Skin Lesion Analysis' - Best Paper Award at the ISIC Skin Image Analysis Workshop @ MICCAI 2018 | ||||||||||
| Skin Lesion Recognition.pytorch | 32 | 4 years ago | Python | |||||||
| Rank3 Code for ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection, Task 3 | ||||||||||
| Generativeskinlesion | 10 | 4 years ago | 1 | gpl-3.0 | Python | |||||
| PyTorch implementation of Progressive of GANs for augmenting skin lesion dataset | ||||||||||
| Skin Project | 9 | 3 years ago | Python | |||||||
| FCA-Net: Adversarial Learning for Skin Lesion Segmentation Based on Multi-scale Features and Factorized Channel Attention | ||||||||||
| Skin_disease_two_classification | 6 | 4 years ago | 1 | Python | ||||||
| pytorch版—使用resnet50迁移学习实现皮肤病图片的二分类 | ||||||||||
| Dermatologist | 6 | 4 years ago | mit | Python | ||||||
| Pytorch implementation of the "Dermatologist-level classification of skin cancer with deep neural networks" research paper. Smaller dataset supplied by Udacity. | ||||||||||
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Python
Pytorch
Skin