Detection systems in lung cancer and imaging. Volume 1 /

This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: El-Baz, Ayman S. (Editor ), Suri, Jasjit S. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2021]
Colección:IOP (Series). Release 21.
IOP ebooks. 2021 collection.
Temas:
Lungs > Cancer > Diagnosis.
Diagnostic imaging > Data processing.
Lung Neoplasms > diagnosis.
Diagnostic Imaging > methods.
Image Processing, Computer-Assisted.
Early Diagnosis.
Medical imaging.
Medical physics and biophysics.
Acceso en línea:Texto completo
Descripción
Sumario:This book focuses on major trends and challenges in the detection of lung cancer, presenting work aimed at identifying new techniques and their use in biomedical analysis. This volume covers recent advancements in lung cancer and imaging detection and classification, examining the main applications of computer aided diagnosis relating to lung cancer: lung nodule segmentation, lung nodule classification, and Big Data in lung cancer.
Notas:"Version: 202201"--Title page verso.
Descripción Física:1 online resource (various pagings) : illustrations (some color).
Also available in print.
Público:Academics working in lung cancer, data-mining, machine learning, deep learning and reinforcement learning. Industries working in the areas of healthcare, lung cancer imaging, machine learning, deep learning and reinforcement learning.
Bibliografía:Includes bibliographical references.
ISBN:9780750333559
9780750333542

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