Skin Lesion Detection and Classification using Transfer Learning Models

Skin Lesion Detection and Classification using Transfer Learning Models explores the application of artificial intelligence and deep learning techniques for automated analysis of skin lesions from medical images. The book presents fundamental concepts of image preprocessing, feature extraction, convolutional neural networks, transfer learning, model training, classification, and performance evaluation. It examines how pre-trained deep learning architectures can be adapted to identify and classify different categories of skin lesions while reducing computational requirements and training time. The book also discusses data augmentation, segmentation, explainable AI, evaluation metrics, and challenges associated with medical image datasets and model generalization. Combining theoretical foundations with practical methodologies and experimental perspectives, this resource highlights the potential of AI-assisted systems to support dermatological screening and clinical decision-making. It is suitable for students, researchers, healthcare technologists, and professionals interested in medical imaging, computer vision, and intelligent healthcare systems.

Surya Pavan Kumar Gudla is currently a Research Scholar at BPUT, Rourkela (submitted Thesis), and holds MCA and M.Tech degrees from Jawaharlal Nehru Technological University, Kakinada (JNTUK). With 15 years of teaching experience in engineering education, Mr. Gudla has consistently demonstrated a strong commitment to academia. He is presently serving at the Aditya Institute of Technology and Management, Tekkali, Andhra Pradesh, INDIA – 532201. Mr. Gudla’s research contributions are well-recognized, with multiple publications in esteemed international journals and conferences. His work on attack detection frameworks and deep learning models for IoT systems has received notable attention, particularly through contributions to IEEE conferences and Springer volumes. Demonstrating a forward-thinking approach, he has co-authored three patents and two textbooks titled Artificial Intelligence and Soft Computing – Fundamentals and Cloud Computing, reflecting his commitment to advancing technological frontiers. He has also guided 10 postgraduate (Master’s) projects and 13 undergraduate (B.Tech.) projects, reflecting his active involvement in student mentoring and project-based research. To date, he has published 27 papers (17 Scopus-indexed, of which 2 are SCIE-indexed) in reputed national and international journals and conferences, underscoring his dedication to academic excellence and innovation in his field.