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skin-cancer-detection-cnn

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charanhu / Skin_Cancer_Detection_MNIST

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The dataset consists of 10015 dermatoscopic images which can serve as a training set for academic machine learning purposes. The objective to build deep learning model to classify given query image into one of the 7 different classes of skin cancer.

machine-learning deep-learning artificial-intelligence datascience convolutional-neural-network skin-cancer-detection skin-cancer-detection-cnn
  • Updated Aug 17, 2022
  • Jupyter Notebook

kaledhoshme123 / Determine-the-location-of-the-skin-lesion-spread

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Dermatologists suffer from the difficulty of locating cancerous and malignant skin lesions, which causes many problems during the process of removing the tumor, which leads to the return of the tumor again. In determining the location of the tumor and its spread and determining the area that must be removed accurately.

keras image-processing medical-imaging convolutional-neural-networks image-segmentation unet skin-segmentation u-net medical-image-analysis imagesegmentation skin-cancer unet-image-segmentation unet-keras unet-segmentation skin-cancer-detection u-net-plus-plus skin-cancer-detection-cnn
  • Updated Aug 6, 2023
  • Jupyter Notebook

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