Improving the Performance of Melanoma Detection in Dermoscopy Images Using Deep CNN Features. - Himanshu K. Gajera; Mukesh A. Zaveri; Deepak Ranjan Nayak (AIME, 2021)

Towards Exploring Deep Features for Efficient Melanoma Diagnosis in Dermoscopic Images. - Himanshu K. Gajera; Mukesh A. Zaveri; Deepak Ranjan Nayak (OCIT, 2022)

Fusion of Local and Global Feature Representation With Sparse Autoencoder for Improved Melanoma Classification. - Himanshu K. Gajera; Deepak Ranjan Nayak; Mukesh A. Zaveri (EMBC, 2022)

Patch-based local deep feature extraction for automated skin cancer classification. - Himanshu K. Gajera; Mukesh A. Zaveri; Deepak Ranjan Nayak (Int. J. Imaging Syst. Technol., 2022)

A comprehensive analysis of dermoscopy images for melanoma detection via deep CNN features. - Himanshu K. Gajera; Deepak Ranjan Nayak; Mukesh A. Zaveri (Biomed. Signal Process. Control., 2023)

M2CE: Multi-convolutional neural network ensemble approach for improved multiclass classification of skin lesion. - Himanshu K. Gajera; Deepak Ranjan Nayak; Mukesh A. Zaveri (Expert Syst. J. Knowl. Eng., 2023)

MTA-Net: Multi-scale triplet attention-aware network for multiclass skin lesion classification. - Himanshu K. Gajera; Deepak Ranjan Nayak; Mukesh A. Zaveri (Comput. Biol. Medicine, 2025)