9780323901840 - deep learning for chest radiographs: computer-aided classification di chandola (17 risultati)
Deep Learning for Chest Radiographs (Primers in Biomedical Imaging Devices and Systems) 1st Edition
Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H.S; Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Deep Learning for Chest Radiographs : Computer-Aided Classification
Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H. S.; Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Deep Learning for Chest Radiographs (Primers in Biomedical Imaging Devices and Systems) 1st Edition
Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H.S; Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Lingua: Inglese
Editore: Elsevier Science & Technology, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Deep Learning for Chest Radiographs (Primers in Biomedical Imaging Devices and Systems) 1st Edition
Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H.S; Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Deep Learning for Chest Radiographs : Computer-Aided Classification
Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H. S.; Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Deep Learning for Chest Radiographs: Computer-Aided Classification (Primers in Biomedical Imaging Devices and Systems)
Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H.S; Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Deep Learning for Chest Radiographs: Computer-Aided Classification (Primers in Biomedical Imaging Devices and Systems)
Yashvi Chandola, Jitendra Virmani, H.S Bhadauria, Papendra Kumar
Lingua: Inglese
Editore: Academic Press 2021-08-15, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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Deep Learning for Chest Radiographs : Computer-Aided Classification
Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H. S.; Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Deep Learning for Chest Radiographs : Computer-Aided Classification
Chandola, Yashvi; Virmani, Jitendra; Bhadauria, H. S.; Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
- Brossura
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Condizione: As New. Unread book in perfect condition.
Altre immaginiLingua: Inglese
Editore: Elsevier Inc, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Deep Learning for Chest Radiographs | Computer-Aided Classification | Yashvi Chandola (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Elsevier Inc | EAN 9780323901840 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anb…ieter: preigu.
Lingua: Inglese
Editore: Elsevier Science, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Provides insights into the theory, algorithms, implementation, and application of deep-learning techniques for medical images such as transfer learning using pretrained CNNs, series networks, directed acyclic graph networks, lightweight CNN models..
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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- Print on Demand
Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Condizione: new. Questo è un articolo print on demand.
Deep Learning for Chest Radiographs: Computer-Aided Classification
Chandola, Yashvi/ Virmani, Jitendra/ Bhadauria, H.S/ Kumar, Papendra
Lingua: Inglese
Editore: Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
- Brossura
- Print on Demand
Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 215 pages. 9.50x7.75x0.50 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Elsevier Science & Technology, Academic Press, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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- Print on Demand
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of ches…t radiographs into 'Normal' and 'Pneumonia.' Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs. This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry. Englisch.
Lingua: Inglese
Editore: Elsevier Science & Technology, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
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- Print on Demand
Da: THE SAINT BOOKSTORE, Southport, Regno UnitoTHE SAINT BOOKSTORE
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Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Lingua: Inglese
Editore: Elsevier Inc, 2021
Serie: Primers in Biomedical Imaging Devices and Systems, Libro 2 di 6. Libro 2 di 6 - Primers in Biomedical Imaging Devices and Systems
- Brossura
- Print on Demand
Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep Learning for Chest Radiographs enumerates different strategies implemented by the authors for designing an efficient convolution neural network-based computer-aided classification (CAC) system for binary classification of chest rad…iographs into 'Normal' and 'Pneumonia.' Pneumonia is an infectious disease mostly caused by a bacteria or a virus. The prime targets of this infectious disease are children below the age of 5 and adults above the age of 65, mostly due to their poor immunity and lower rates of recovery. Globally, pneumonia has prevalent footprints and kills more children as compared to any other immunity-based disease, causing up to 15% of child deaths per year, especially in developing countries. Out of all the available imaging modalities, such as computed tomography, radiography or X-ray, magnetic resonance imaging, ultrasound, and so on, chest radiographs are most widely used for differential diagnosis between Normal and Pneumonia. In the CAC system designs implemented in this book, a total of 200 chest radiograph images consisting of 100 Normal images and 100 Pneumonia images have been used. These chest radiographs are augmented using geometric transformations, such as rotation, translation, and flipping, to increase the size of the dataset for efficient training of the Convolutional Neural Networks (CNNs). A total of 12 experiments were conducted for the binary classification of chest radiographs into Normal and Pneumonia. It also includes in-depth implementation strategies of exhaustive experimentation carried out using transfer learning-based approaches with decision fusion, deep feature extraction, feature selection, feature dimensionality reduction, and machine learning-based classifiers for implementation of end-to-end CNN-based CAC system designs, lightweight CNN-based CAC system designs, and hybrid CAC system designs for chest radiographs. This book is a valuable resource for academicians, researchers, clinicians, postgraduate and graduate students in medical imaging, CAC, computer-aided diagnosis, computer science and engineering, electrical and electronics engineering, biomedical engineering, bioinformatics, bioengineering, and professionals from the IT industry.
