Tirth27 / Skin-Cancer-Classification-using-Deep-Learning

Classify Skin cancer from the skin lesion images using Image classification. The dataset for the project is obtained from the Kaggle SIIM-ISIC-Melanoma-Classification competition.

Date Created 2021-06-09 (3 years ago)

Commits 20 (last one 2 years ago)

Stargazers 131 (0 this week)

Watchers 2 (0 this week)

Forks 50

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RepositoryStats indexes 595,856 repositories, of these Tirth27/Skin-Cancer-Classification-using-Deep-Learning is ranked #244,686 (59th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,869/17,543.

Tirth27/Skin-Cancer-Classification-using-Deep-Learning is also tagged with popular topics, for these it's ranked: deep-learning (#4,439/8512), machine-learning (#4,156/8063), python3 (#1,767/4145), computer-vision (#1,534/3130), convolutional-neural-networks (#283/549), image-classification (#202/399), medical-imaging (#129/287)

All Topics

python3 skin-cancer deep-learning albumentations computer-vision medical-imaging keras-tensorflow machine-learning skin-lesion-image kaggle-competition melanoma-diagnosis image-classification convolutional-neural-networks

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1 commits on the default branch (main) since jan '22

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Tirth27/Skin-Cancer-Classification-using-Deep-Learning

updated: 2024-12-19 @ 10:11pm, id: 375350415 / R_kgDOFl9kjw