Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Bcdu Net | 435 | 2 years ago | 5 | Python | ||||||
BCDU-Net : Medical Image Segmentation | ||||||||||
Skin Deep | 205 | 188 | 60 | 7 years ago | 33 | September 27, 2017 | 6 | mit | JavaScript | |
Test assertion helpers for use with React's shallowRender test utils | ||||||||||
Skin Cancer Segmentation | 58 | 2 years ago | 8 | mit | Python | |||||
Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset | ||||||||||
Nestle Acne Assessment | 45 | a year ago | 8 | Jupyter Notebook | ||||||
This is the source code that we developed for the collaborative project between Microsoft and Nestle Skin Health, where we developed deep learning models to assess the acne severity level based on selfie images. | ||||||||||
Skin_lesion_detection_deep_learning | 38 | 5 years ago | 1 | Python | ||||||
Skin lesion detection from dermoscopic images using Convolutional Neural Networks | ||||||||||
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 | ||||||||||
Melanoma_segmentation | 29 | 5 years ago | apache-2.0 | Jupyter Notebook | ||||||
Segmentation of skin cancers on ISIC 2017 challenge dataset. | ||||||||||
Melanoma Cancer Detection V1 | 23 | 7 years ago | 1 | Python | ||||||
Melanoma Cancer Detection Using Deep Learning | ||||||||||
Dermosegdiff | 21 | 6 months ago | mit | Python | ||||||
[MICCAI 2023] DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation |