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Skin Cancer Detection Using Artificial Intelligence Techniques
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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.
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- 14 - pdf (CC BY-NC-ND) at OAPEN Library.
Keywords
- clinical decision support
- Dermatology informatics
- Healthcare data science
- Machine learning for skin lesion diagnosis
- medical image analysis
- Melanoma classification
- support vector machines
- thema EDItEUR::M Medicine and Nursing::MB Medicine: general issues::MBN Public health and preventive medicine::MBNH Personal and public health / health education
- thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders
- thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
- thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBJ Digital and information technologies: social and ethical aspects
- thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics::UBL Digital and information technologies: Legal aspects
- thema EDItEUR::U Computing and Information Technology::UL Operating systems::ULR Real time operating systems
- thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMW Web programming
- thema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UMZ Software Engineering
- thema EDItEUR::U Computing and Information Technology::UN Databases::UNC Data capture and analysis
- thema EDItEUR::U Computing and Information Technology::UN Databases::UNF Data mining
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQM Machine learning
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYT Image processing
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction
- thema EDItEUR::U Computing and Information Technology::UY Computer science::UYZ Human–computer interaction::UYZF Information visualization
Links
DOI: 10.1201/9781003542155Editions