A Deep Learning Framework for Early Detection of Skin Cancer: Implementing CNNs with Augmented Dermoscopic Images
Abstract
Skin cancer, particularly melanoma, poses a significant global health risk due to rising cases, high mortality rates, and delayed detection. This project introduces an automated detection system using image processing and a CNN classifier to differentiate malignant from benign lesions. By employing data augmentation, feature extraction, and preprocessing techniques, the model enhances early diagnosis, enabling timely and life-saving interventions.
Fields of Study & Subjects
Cutaneous Melanoma Detection and Management
AI in cancer detection
Infrared Thermography in Medicine
Publication details
- Journal / source
- International Journal for Research in Applied Science and Engineering Technology
- Volume
- 14
- Issue
- 1
- Pages
- 1–3
- Publication date
- 4 January 2026