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Author

Sumitra Menaria

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Open access Dec 2026

Towards accurate diagnostics: deep-transfer learning in skin disease detection

Automated skin disease diagnosis remains a significant challenge due to inherent variations in skin tone, texture, lighting, and occlusions such as hair. Addressing these diagnostic difficulties is vital for developing reliable clinical decision-support systems. This research presents an automated classification framew...

V. Pandya, Vruti Parikh, Mohit Rathod et al. · 0 citations
Open access Sep 2026

Explainable Artificial Intelligence-Based Deep Learning for Detecting Cotton Leaf Diseases

The findings demonstrate the capacity of DL (deep learning) models for accurate and efficient disease detection in cotton leaves and explore hybrid architectures or ensemble methods further to improve classification accuracy and generalizability across diverse agricultural conditions.

Shrina Patel, P. Patel, Mohit Rathod et al. · 0 citations
Review Open access Aug 2026

AI-Based Skin Disease Classification Using Deep Learning Techniques

This paper presents a comprehensive deep learning-based framework for the automated detection and classification of skin diseases from dermoscopic and clinical images, built on the ResNet50 convolutional neural network architecture and evaluated using standard classification metrics.

Nisha Rajodiya, Shailendra Mishra, Sumitra Menaria et al. · 0 citations

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