9781032893105 - Skin Cancer Detection Using Artificial Intelligence Techniques de Mahalle, Parikshit N.; Faiz Shaikh, Nuzhat; Ingle, Pritibala S.; Ingle, Yashwant S. (16 resultados)

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. 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.

Hardcover. Condición: Brand New. 128 pages. 10.00x7.00 inches. In Stock.

Buch. Condición: Neu. Neuware.

Hardcover. Condición: new. Hardcover. 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 , has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license. This book explores the application of Artificial Intelligence in diagnosing skin cancer, emphasising the importance of early detection to improve treatment outcomes. The findings of this study will aid doctors in treating disease at its onset, preventing future deterioration. This book can be referred to by professionals and researchers. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condición: new. Hardcover. 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 , has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license. This book explores the application of Artificial Intelligence in diagnosing skin cancer, emphasising the importance of early detection to improve treatment outcomes. The findings of this study will aid doctors in treating disease at its onset, preventing future deterioration. This book can be referred to by professionals and researchers. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Hardcover. Condición: new. Hardcover. 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 , has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license. This book explores the application of Artificial Intelligence in diagnosing skin cancer, emphasising the importance of early detection to improve treatment outcomes. The findings of this study will aid doctors in treating disease at its onset, preventing future deterioration. This book can be referred to by professionals and researchers. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.