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All Projects → 0x5eba → Skin-Cancer-Segmentation

0x5eba / Skin-Cancer-Segmentation

Licence: MIT license
Classification and Segmentation with Mask-RCNN of Skin Cancer using ISIC dataset

Programming Languages

python
139335 projects - #7 most used programming language

Labels

deep-learningclassificationsegmentationneiisicmask-rcnnskin-cancerclassification-segmentation

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Skin-Cancer-Segmentation

Classification and Segmentation with Mask-RCNN of Skin Cancer by ISIC dataset

Setup

  1. Download the dataset from https://isic-archive.com/

    At the end, the directory of the data should be like this:

    Data/
├── Images/  (containing the .jpg file)
├── Descriptions/  (containing the json file)
└── Segmentation/  (containing the .png file)

  2. Download the dependency of the project: pip3 install -r requirements.txt

  3. Create the model: python3 main.py

  4. Test the model: python3 test.py

Results

Original image

Classify and Segment image

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