Skin Cancer Prediction Model using Deep Learning

Annaji Kuthe; Harshal Donarkar; Charul Patel; Mahek Qureshi; Angad Bawankar; Kunal Gawande

doi:10.1016/j.compbiomed.2024.108742

Author(s)

Annaji Kuthe Department of Computer Science & Engineering, K.D.K. College Of Engineering, Nagpur, India

Harshal Donarkar DepartmentOf Computer Science & Engineering,K.D.K. College Of Engineering, Nagpur, India

Charul Patel DepartmentOf Computer Science & Engineering,K.D.K. College Of Engineering, Nagpur, India

Mahek Qureshi Department of Computer Science & Engineering, K.D.K. College Of Engineering, Nagpur, India

Angad Bawankar Department Of Computer Science & Engineering, K.D.K. College Of Engineering, Nagpur, India

Kunal Gawande Department of Computer Science & Engineering, K.D.K. College Of Engineering, Nagpur, India

Abstract

This research uses the ISIC 2024 dataset to classify skin lesions using deep learning and convolutional neuralnetworks (CNNs). Skin cancer is one of the most common healthproblems in the world, and successful treatment depends onearly detection. A CNN model that could identify the seven different forms of skin lesions-including dermatofibroma, actinickeratoses, vascular lesions, basal cell carcinoma, squamous cellcarcinoma, melanocytic nevi, and melanoma-was presented in this work. Oversampling and data augmentation were employedto address the class imbalance.As a result, the constructed modelperformed exceptionally well on its categorization tasks. The model should ideally allow clinicians to promptly identify realskin malignancies because it was tested on a different testset to validate the results. The study suggests that AI-basedinterventions may improve test accuracy and streamline thescreening process if used in medical practice. Betterpatient-oriented results in dermatological treatment should followfrom this.

Publication Details

Page(s) 260-269

DOI 10.1016/j.compbiomed.2024.108742

Published Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 5, Year: 2024

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Keywords

deep learning, Skin cancer, CNN, Tensorflow, Image Classification., ISIC 2024 Dataset, Flask

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