AI-powered Django Framework for Multi-class Classification of Skin Disease for Enhanced Diagnosis
Keywords:
Keywords: Dermoscopic images, Skin disease, Artificial intelligence, Deep learning, Convolutional neural networksAbstract
Skin cancer and related dermatological conditions are among the most common health issuesworldwide. Early detection is critical for effective treatment, yet manual diagnosis relies heavily onspecialist availability and subjective visual assessment. Dermoscopic imaging has improved diagnosticaccuracy but still depends on expert interpretation, limiting accessibility and consistency. Therefore,this research presents an AI-powered web application for automated skin disease classification
References
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Bi Lei, Jinman Kim, Euijoon Ahn, Feng D. Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks. ArXiv abs. 2017; 1703:04197
