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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

elaheghiyabi96 / HAM10000-EfficientNetB1-Skin-Lesion-Classification

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Skin lesion classification using EfficientNetB1 with transfer learning on the HAM10000 dataset. The project addresses class imbalance with weighted loss and data augmentation, achieving improved accuracy and robustness compared to previous CNN-based models.

tensorflow keras cnn confusion-matrix data-augmentation keras-tensorflow cnn-classification skin-lesion-classification ham10000 skin-cancer-detection efficientnetb1 skin-cancer-detection-cnn onvolutional-neural-networks
  • Updated Dec 27, 2025
  • Jupyter Notebook

Vishwanath-06 / SCC-ALAR

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SCC-ALAR: An experimental study on skin lesion classification using hybrid CNN-Transformer architectures. This project explores the impact of architectural complexity versus inductive bias on the imbalanced HAM10000 dataset, featuring custom weighting schemes and pre-extracted feature embeddings.

machine-learning deep-learning medical-imaging image-classification densenet121 ham10000 xgboost-classifier medical-imaging-with-deep-learning medical-imaging-classification skin-cancer-detection-cnn
  • Updated Feb 7, 2026
  • 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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