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ISIC2019 skin lesion classification (binary & multi-class) as well as segmentation pipelines using VGG16_BN and visual attention blocks. The project features improving the results found in the literature by implementing an ensemble architecture. This project was developed for "Computer Aided Diagnosis - CAD" course for MAIA masters program.

Python 0.22% Jupyter Notebook 99.78%
cad isic-2019 isic-challenge maia master melanoma-detection skin attention-mechanism gradcam gradcam-visualization

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