Leveraging CNN Architectures for Accurate and Scalable Skin Cancer Detection

Author(s)	Ms. Siddhi Dhuri, Ms. Avanthiga Naicker, Ms. Bhakti Israni
Country	India
Abstract	This paper presents a study on an automated skin cancer detection system using deep learning techniques. By leveraging convolutional neural networks (CNNs), the model analyzes dermoscopic images to classify skin lesions as benign or malignant. Through image preprocessing, augmentation, and rigorous evaluation, the system achieves high accuracy, sensitivity, and specificity. This research demonstrates the potential of AI-assisted dermatology tools for early diagnosis and improved patient outcomes, contributing to medical image analysis and clinical applications.
Keywords	Skin Cancer Detection, Image Analysis, Dermatology, Technology.
Field	Medical / Pharmacy
Published In	Volume 7, Issue 4, July-August 2025
Published On	2025-08-23
DOI	https://doi.org/10.36948/ijfmr.2025.v07i04.53986

About IJFMR Fees & Payment Current Issue Publication Archive	Submit Research Paper Track Submission Status Publication Guidelines Publication Ethics Peer Review & Plagiarism	Join as a Reviewer Editors & Reviewers Reviewer Referral Program Get Reviewer Membership Certi.	Website/Journal Policies Usage Policy Content Policies Privacy Policy

Contact Us		+91-9687-828-838	editor@ijfmr.com

International Journal For Multidisciplinary Research