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elaheghiyabi96 / HAM10000-MultiModal-ConvNeXt-Small

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Multi-modal skin lesion classification on the HAM10000 dataset using ConvNeXt-Small. The model fuses dermoscopic images with clinical metadata (age, sex, localization) to improve performance on imbalanced classes.

medical-imaging convolutional-neural-networks transfer-learning class-imbalance convolutional-neural-networks-cnn skin-lesion-classification ham10000 multi-modal-deep-learning metadata-integration convnext-small
  • Updated Dec 28, 2025
  • Jupyter Notebook

elaheghiyabi96 / HAM10000-ConvNeXt-Small-Skin-Lesion-Classification

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Skin lesion classification on the HAM10000 dataset using a ConvNeXt-Small model with transfer learning. Includes data preprocessing, augmentation, class imbalance handling, and evaluation across seven diagnostic categories.

tensorflow convolutional-neural-networks confusion-matrix transfer-learning data-augmentation f1-score melanoma skin-cancer ham10000 skin-cancer-detection dermoscopic-images medical-image-classification convnext precision-and-recall convnext-small imagenet-pretraining
  • Updated Dec 25, 2025
  • Jupyter Notebook

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