Articles liés à Deep Learning Architectures for Non-Hodgkin Lymphoma...
Résultats de recherche pour Deep Learning Architectures for Non-Hodgkin Lymphoma...
Image d'archives
Deep Learning Architectures for Non-Hodgkin Lymphoma Classification
impression à la demandeVendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798240886232
Acheter neuf
EUR 27,68
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Deep Learning Architectures for Non-Hodgkin Lymphoma Classification
impression à la demandeVendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798240886232
Acheter neuf
EUR 26,15
Expédition à EUR 3,94
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Deep Learning Architectures for Non-Hodgkin Lymphoma Classification (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Deep Learning Architectures for Non-Hodgkin Lymphoma Classification explores the application of deep learning and artificial intelligence techniques to the classification and analysis of Non-Hodgkin lymphoma. The book examines how advanced computational models can be applied to medical image and clinical data to support automated classification, pattern recognition, and data-driven healthcare analysis.The book introduces fundamental concepts of deep learning, neural networks, image classification, and medical data processing, with particular emphasis on architectures suitable for lymphoma classification tasks. It discusses approaches for feature extraction, image representation, model training, classification, and performance evaluation, providing readers with an understanding of how deep learning systems can be developed for medical applications.Particular attention is given to the challenges of applying artificial intelligence to clinical datasets, including data preparation, model validation, classification accuracy, feature learning, and the interpretation of predictive results. The book also considers the potential role of deep learning as a decision-support technology in medical research and diagnostic workflows.By bringing together deep learning architectures and lymphoma classification, this book provides a useful reference for students, researchers, data scientists, biomedical engineers, medical technology professionals, and practitioners working at the intersection of artificial intelligence, medical imaging, machine learning, and oncology. It is especially relevant to readers interested in developing intelligent systems for automated medical image analysis and computer-assisted clinical decision support. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798240886232
Acheter neuf
EUR 34,53
Livraison gratuite
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Deep Learning Architectures for Non-Hodgkin Lymphoma Classification
Vendeur : California Books, Miami, FL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Etat : New. N° de réf. du vendeur I-9798240886232
Acheter neuf
EUR 33,02
Expédition à EUR 2,67
Expédition nationale : Etats-Unis
Expédition nationale : Etats-Unis
Quantité disponible : Plus de 20 disponibles
Image d'archives
Deep Learning Architectures for Non-Hodgkin Lymphoma Classification (Paperback)
impression à la demandeVendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Deep Learning Architectures for Non-Hodgkin Lymphoma Classification explores the application of deep learning and artificial intelligence techniques to the classification and analysis of Non-Hodgkin lymphoma. The book examines how advanced computational models can be applied to medical image and clinical data to support automated classification, pattern recognition, and data-driven healthcare analysis.The book introduces fundamental concepts of deep learning, neural networks, image classification, and medical data processing, with particular emphasis on architectures suitable for lymphoma classification tasks. It discusses approaches for feature extraction, image representation, model training, classification, and performance evaluation, providing readers with an understanding of how deep learning systems can be developed for medical applications.Particular attention is given to the challenges of applying artificial intelligence to clinical datasets, including data preparation, model validation, classification accuracy, feature learning, and the interpretation of predictive results. The book also considers the potential role of deep learning as a decision-support technology in medical research and diagnostic workflows.By bringing together deep learning architectures and lymphoma classification, this book provides a useful reference for students, researchers, data scientists, biomedical engineers, medical technology professionals, and practitioners working at the intersection of artificial intelligence, medical imaging, machine learning, and oncology. It is especially relevant to readers interested in developing intelligent systems for automated medical image analysis and computer-assisted clinical decision support. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798240886232
Acheter neuf
EUR 39,29
Expédition à EUR 32,95
Expédition depuis Australie vers Etats-Unis
Expédition depuis Australie vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Deep Learning Architectures for Non-Hodgkin Lymphoma Classification (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Deep Learning Architectures for Non-Hodgkin Lymphoma Classification explores the application of deep learning and artificial intelligence techniques to the classification and analysis of Non-Hodgkin lymphoma. The book examines how advanced computational models can be applied to medical image and clinical data to support automated classification, pattern recognition, and data-driven healthcare analysis.The book introduces fundamental concepts of deep learning, neural networks, image classification, and medical data processing, with particular emphasis on architectures suitable for lymphoma classification tasks. It discusses approaches for feature extraction, image representation, model training, classification, and performance evaluation, providing readers with an understanding of how deep learning systems can be developed for medical applications.Particular attention is given to the challenges of applying artificial intelligence to clinical datasets, including data preparation, model validation, classification accuracy, feature learning, and the interpretation of predictive results. The book also considers the potential role of deep learning as a decision-support technology in medical research and diagnostic workflows.By bringing together deep learning architectures and lymphoma classification, this book provides a useful reference for students, researchers, data scientists, biomedical engineers, medical technology professionals, and practitioners working at the intersection of artificial intelligence, medical imaging, machine learning, and oncology. It is especially relevant to readers interested in developing intelligent systems for automated medical image analysis and computer-assisted clinical decision support. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798240886232
Acheter neuf
EUR 30,22
Expédition à EUR 44,34
Expédition depuis Royaume-Uni vers Etats-Unis
Expédition depuis Royaume-Uni vers Etats-Unis
Quantité disponible : 1 disponible(s)
Image d'archives
Deep Learning Architectures for Non-Hodgkin Lymphoma Classification
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep Learning Architectures for Non-Hodgkin Lymphoma Classification explores the application of deep learning and artificial intelligence techniques to the classification and analysis of Non-Hodgkin lymphoma. The book examines how advanced computational models can be applied to medical image and clinical data to support automated classification, pattern recognition, and data-driven healthcare analysis.The book introduces fundamental concepts of deep learning, neural networks, image classification, and medical data processing, with particular emphasis on architectures suitable for lymphoma classification tasks. It discusses approaches for feature extraction, image representation, model training, classification, and performance evaluation, providing readers with an understanding of how deep learning systems can be developed for medical applications.Particular attention is given to the challenges of applying artificial intelligence to clinical datasets, including data preparation, model validation, classification accuracy, feature learning, and the interpretation of predictive results. The book also considers the potential role of deep learning as a decision-support technology in medical research and diagnostic workflows.By bringing together deep learning architectures and lymphoma classification, this book provides a useful reference for students, researchers, data scientists, biomedical engineers, medical technology professionals, and practitioners working at the intersection of artificial intelligence, medical imaging, machine learning, and oncology. It is especially relevant to readers interested in developing intelligent systems for automated medical image analysis and computer-assisted clinical decision support. N° de réf. du vendeur 9798240886232
Acheter neuf
EUR 41,28
Expédition à EUR 35
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)
Image fournie par le vendeur
Deep Learning Architectures for Non-Hodgkin Lymphoma Classification
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Deep Learning Architectures for Non-Hodgkin Lymphoma Classification | Shakti Kapoor | Taschenbuch | Englisch | 2026 | Pippet Sky | EAN 9798240886232 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136405021
Acheter neuf
EUR 32,40
Expédition à EUR 70
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 5 disponible(s)