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Judul Skin Cancer Detection Using Artificial Intelligence Techniques / Mahalle, Parikshit N.
Pengarang Mahalle, Parikshit N.
Shaikh, Nuzhat Faiz
Ingle, Pritibala S.
Ingle, Yashwant S.
EDISI 1st Edition
Penerbitan New York : Chapman and Hall/CRC, 2026
Deskripsi Fisik 138
ISBN 9781003542155
Subjek SKIN CANCER DETECTION
ARTIFICIAL INTELLIGENCE TECHNIQUES
DEEP LEARNING IN MEDICINE
Abstrak 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 https://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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Lokasi Akses Online https://www.taylorfrancis.com/books/oa-mono/10.1201/9781003542155/skin-cancer-detection-using-artificial-intelligence-techniques-yashwant-ingle-parikshit-mahalle-nuzhat-faiz-shaikh-pritibala-ingle?context=ubx&refId=d9241345-d74b-4231-9339-21bd0a131676
https://www.taylorfrancis.com/reader/download/e35741a8-56c7-4536-a4bf-8b49e39fac1d/book/pdf?context=ubx

 
No Barcode No. Panggil Akses Lokasi Ketersediaan
156826192 616.994 MAH s Baca Online Perpustakaan Pusat - Online Resources
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245 1 # $a Skin Cancer Detection Using Artificial Intelligence Techniques /$c Mahalle, Parikshit N.
250 # # $a 1st Edition
260 # # $a New York :$b Chapman and Hall/CRC,$c 2026
300 # # $a 138
520 # # $a 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 https://www.taylorfrancis.com, has been made available under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC BY-NC-ND)] 4.0 license.
650 # # $a ARTIFICIAL INTELLIGENCE TECHNIQUES
650 # # $a DEEP LEARNING IN MEDICINE
650 # # $a SKIN CANCER DETECTION
700 0 # $a Ingle, Pritibala S.
700 0 # $a Ingle, Yashwant S.
700 0 # $a Shaikh, Nuzhat Faiz
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