Skin Cancer Detection Using Artificial Intelligence Techniques

This book explores the application of artificial intelligence (AI) in diagnosing skin cancer, emphasizing the importance of early detection to improve treatment outcomes. It reviews various Deep Learning (DL) algorithms, with a focus on CNN, to classify skin cancer with higher accuracy than traditional methods. Designed for beginners and experts alike, the book provides a comprehensive understanding of AI techniques and their implementation in healthcare. . Compares the accuracy of AI-based detection methods with traditional medical practices. . Covers the basics of AI and its relevance in early disease detection, different types of skin cancer and the critical need for early detection. . Reviews various DL techniques, focusing on CNN for skin cancer classification. . Provides step-by-step guidance on implementing AI techniques for skin cancer detection, including programming aspects. . Includes illustrations and real-world examples of AI in action for early skin cancer detection. The findings of this study will aid doctors in treating the disease at its onset, preventing future deterioration. This book can be referred to by professionals and researchers. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.

Parikshit N. Mahalle is a senior member of IEEE and currently serves as Professor and Dean of Academics at Vishwakarma Institute of Technology (VIT), Pune. He has previously held key roles such as Dean of Research and Development at both VIT and Vishwakarma Institute of Information Technology, as well as Head of AI and Data Science. He holds a Ph.D. from Aalborg University, Denmark, and completed postdoctoral research at CMI, Copenhagen. With 25 years of experience, he has contributed extensively through teaching, research, and academic leadership. He has published over 440 research papers, has 117 patents, and has authored or edited 77 books with leading publishers. His research work has received significant citations across Google Scholar, Scopus, and Web of Science. He serves on editorial boards and as editor- in- chief for reputed journals. His expertise spans ML, data science, IoT, security, algorithms, and identity management. Mahalle has guided eight Ph.D. scholars successfully and mentors several others. He has received numerous awards, including Best Faculty Award, S4DS Researcher of the Year 2023, and IEEE ICTBIG Distinguished Research Guide Award. As global academic contributor, he has delivered over 400 lectures and collaborated in 24 countries. Nuzhat Faiz Shaikh is Professor and Head, Department of Computer Engineering, Modern Education Society's College of Engineering, Pune, India. She holds a B.E. from Cummins College of Engineering for Women, an M.E. from Pune Institute of Computer Technology, and a Ph.D. in Computer Science and Engineering from SGGSIET, Swami Ramanand Teerth Marathwada University, Nanded. With over 28 years of academic and research experience, she has published more than 100 papers in reputed journals and conferences and has authored and edited several books. Her research areas include AI, soft computing, bio- inspired optimization, and augmented and virtual reality. She serves as a reviewer for numerous reputed journals and conferences. She is a life member of CSI and ISTE and recipient of the "Educator Excellence Award 2018" by Odser Charitable Trust for her outstanding contribution to education. Pritibala S. Ingle is Assistant Professor, Department of Computer Application, Sinhgad College of Science, Pune, India. She earned her B.Sc. and M.Sc. in Computer Science from Sant Gadge Baba Amravati University and qualified the State Eligibility Test (SET). She earned an M.C.A. and is pursuing a Ph.D. in Computer Management at IMCC, Savitribai Phule Pune University. With over 14 years of teaching and research experience, she has published several papers in reputed journals and conferences. Her research interests include AI, data science, blockchain, and algorithms. She is actively involved in guiding undergraduate and postgraduate students in applied computer science projects and promoting the use of emerging technologies in education. Yashwant Sudhakar Ingle is Assistant Professor, Department of Artificial Intelligence and Data Science, Pune, India. He earned a B.E. in Computer Science and Engineering from Amravati University and an M.Tech in Computer Science and Engineering from Visvesvaraya National Institute of Technology (VNIT), Nagpur. He completed his Ph.D. in Computer Engineering at SKNCOE, Savitribai Phule Pune University with Best Paper Award at IEEE Punecon 2024. He contributes effectively in IEEE conferences as an organizing committee member, reviewer, and author. With over 15 years of academic and research experience, he has published more than 50+ research papers and 40 patents, including 10 granted in India, the USA, and the UK. He serves as a reviewer for IEEE conferences and ASTES Journal. He qualified GATE 2010, GATE 2020, GATE 2025 with 98, 93, 93 percentiles, respectively. His research interests include AI, soft computing, and algorithms. Mr. Ingle is a life member of ISTE, IEEE, and the VNIT Alumni Association and has received multiple awards and recognitions for his research and innovation from I2OR, IMRF, and Avishkar Foundation.

Skin Cancer and Causes 2. Artificial Intelligence Tools and Technology 3. AI for Skin Cancer Identification 4. Experimental Analysis and Results 5. Mitigation Remedies and Recommendations 6. Summary, Conclusion, and Future Work