Author

Harshal A. Sanghvi

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Open access Oct 2026

Deep Learning–Based Classification of Melanoma Using Dermoscopic Images: Comparative Evaluation of Convolutional Neural Network and DenseNet Models

Abstract Background For melanoma, an aggressive form of skin cancer, early and accurate detection is critical to improving clinical outcomes. Deep learning–based image analysis has emerged as a promising approach for computer-assisted evaluation of dermoscopic lesions. However, model performance is often affected by li...

Harshal A. Sanghvi, Argyrios Agritis, Isabella Alvarez et al. · JMIR Dermatology · 0 citations

Conference Aug 2026

A Hybrid Deep Learning Framework for Early Detection of Lung Cancer Using CT Scan Imaging

Lung cancer accounts for the most cancer deaths in the world. While CT scans can detect lung cancer at an early stage, the manual reading of these scans is time-consuming and varies from doctor to doctor. To overcome these challenges, a framework is proposed based on deep learning techniques to classify CT chest scans...

Vinay Amin, Harshal A. Sanghvi, Riki H. Patel · International Workshop on Ar... · 0 citations