Isbn: 9781032955124 - thermal imaging and computational intelligence techniques in disease detection (3 Ergebnisse)

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  • Sprache: Englisch

    Verlag: CRC Press, 2026

    1032955120 / 9781032955124

    • Hardcover

    Anbieter: Majestic Books, Hounslow, Vereinigtes KönigreichMajestic Books

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    Zustand: Neu

    EUR 166,81

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    Zustand: New.

  • Sprache: Englisch

    Verlag: CRC Press, 2026

    1032955120 / 9781032955124

    • Hardcover

    Anbieter: moluna, Greven, Deutschlandmoluna

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    Zustand: Neu

    EUR 154,10

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    Zustand: New. Neha Singh is currently working as Assistant Professor, in the Department of Electronics &amp Communication Engineering at Manipal University Jaipur, Rajasthan, India. She completed her PhD in image processing in 2020 and has more than 20 years o.

  • Sprache: Englisch

    Verlag: Taylor & Francis Ltd Okt 2026, 2026

    1032955120 / 9781032955124

    • Hardcover

    Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH

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    Buch. Zustand: Neu. Neuware - The text presents a compilation of research and methodologies at the intersection of thermal imaging, medical diagnostics, and artificial intelligence for noninvasive early disease detection, diagnosis, and monitoring across a spectrum of medical conditions. It highlights the importance of using the latest technologies to improve performance, productivity, efficiency, and security in healthcare without sacrificing reliability or accessibility. The structured chapters provide both foundational and advanced insights into the use of infrared thermography in breast thermogram analysis, osteoporosis detection, cancer research, diabetic neuropathy, oral cancer, and skin lesions, emphasizing how computational intelligence augments diagnostic precision.This book: - Covers the application of thermograms in the early detection of various diseases using faster and more efficient image processing and intelligent classification algorithms. - Discusses the use of different image processing methods in thermal imaging applications to diagnose various medical issues. - Focuses on implementing the latest artificial intelligence techniques including machine learning to automate the decisions based on thermograms to aid medical experts in quick and effective diagnosis with early detection of diseases. - Presents an in-depth analysis of the application of infrared thermal imaging in the diagnosis of specific diseases like cancer, osteoporosis, skin lesions, and diabetic neuropathy focusing on the computational techniques. It is primarily written for senior undergraduates, graduate students, and academic researchers in medicine, bioengineering, electrical engineering, electronics and communications engineering, computer science engineering, and biomedical engineering.…