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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Détails bibliographiques
Cote:Libro Electrónico
Autres auteurs: El-Baz, Ayman S. (Éditeur intellectuel), Suri, Jasjit S. (Éditeur intellectuel)
Format: Électronique eBook
Langue:Inglés
Publié: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2021]
Collection:IOP (Series). Release 21.
IOP ebooks. 2021 collection.
Sujets:
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.
Accès en ligne:Texto completo
Description
Résumé: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.
Description:"Version: 202201"--Title page verso.
Description matérielle:1 online resource (various pagings) : illustrations (some color).
Also available in print.
Public: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.
Bibliographie:Includes bibliographical references.
ISBN:9780750333559
9780750333542

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