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Deep Learning for Skin Lesion Analysis by Startup \u0026 Business is a document available to read on EtoBox.

This document presents a multi-task deep learning framework for the classification of skin lesions, quantification of ABCDE features, and simulation of their evolution over time. The framework aims to improve the interpretability of deep learning models in melanoma detection by providing quantitative scores for features such as asymmetry, border irregularity, color variation, and diameter, achieving an accuracy of approximately 89% on the HAM10000 dataset. The proposed method enhances understanding of skin

Author

Startup \u0026 Business

Language

EN