Artificial Intelligence in Decision Support Systems for Diagnosis in Medical Imaging: Intelligent Systems Reference Library, cartea 140
Editat de Kenji Suzuki, Yisong Chenen Limba Engleză Hardback – 29 ian 2018
Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
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Paperback (1) | 1101.18 lei 6-8 săpt. | |
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Springer International Publishing – 29 ian 2018 | 1107.27 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783319688428
ISBN-10: 3319688421
Pagini: 384
Ilustrații: XXI, 387 p. 140 illus., 96 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.75 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
ISBN-10: 3319688421
Pagini: 384
Ilustrații: XXI, 387 p. 140 illus., 96 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.75 kg
Ediția:1st ed. 2018
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library
Locul publicării:Cham, Switzerland
Cuprins
Multi-modality Feature Learning in Diagnoses of Alzheimer’s Disease.- A Comparative Study of Modern Machine Learning Approaches for Focal Lesion Detection and Classification in Medical Images: BoVW, CNN and MTANN.- Introduction to Binary Coordinate Ascent: New Insights into Efficient Feature Subset Selection for Machine Learning.- Automated Lung Nodule Detection Using Positron Emission Tomography/Computed Tomography.- Detecting Mammographic Masses via Image Retrieval and Discriminative Learning.
Textul de pe ultima copertă
This book offers the first comprehensive overview of artificial intelligence (AI) technologies in decision support systems for diagnosis based on medical images, presenting cutting-edge insights from thirteen leading research groups around the world.
Medical imaging offers essential information on patients’ medical condition, and clues to causes of their symptoms and diseases. Modern imaging modalities, however, also produce a large number of images that physicians have to accurately interpret. This can lead to an “information overload” for physicians, and can complicate their decision-making. As such, intelligent decision support systems have become a vital element in medical-image-based diagnosis and treatment.
Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Presenting extensive information on this growing field of AI, the book offers a valuable reference guide for professors, students, researchers and professionals who want to learn about the most recent developments and advances in the field.
Caracteristici
Presents a comprehensive overview of the state of the art in artificial intelligence for medical-image-based diagnosis and treatment Demonstrates that intelligent technologies have now reached the practical level and are rapidly becoming available in clinical practices in hospitals Medical imaging offers essential information on patients medical condition