ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN 2D/3D MEDICAL IMAGE PROCESSING / Rohit, Raja (2021) / 978-0-367-37435-8

Public ISBD Titre : ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN 2D/3D MEDICAL IMAGE PROCESSING Type de document : texte imprimé Auteurs : Rohit, Raja, Auteur ; Sandeep Kumar, Auteur ; Shilpa Rani, Auteur Editeur : New York : CRC press Année de publication : 2021 Importance : 196p. Présentation : couv:ill. Format : 30cm ISBN/ISSN/EAN : 978-0-367-37435-8 Langues : Anglais (eng) Catégories : 004 - Informatique. Science et technologie de l'informatique.:004.8 Intelligence artificielle Mots-clés : Artificial intelligence Machine learning Deep learning Medical image processing 2D medical imaging 3D medical imaging Image segmentation Computer-aided diagnosis Pattern recognition Digital radiology Convolutional neural networks Medical decision support Index. décimale : 004 Informatique Résumé : This book by Rihit Raja explores the critical intersection of artificial intelligence, machine learning, and two-dimensional and three-dimensional medical image processing. The work presents an in-depth analysis of advanced AI techniques applied to solving complex challenges in medical imaging, such as organ segmentation, lesion detection, and tissue characterization. The author methodically examines various deep neural network architectures tailored for medical image processing, with emphasis on convolutional neural networks and their specialized variants for volumetric 3D data. Clinical case studies illustrate the practical application of these technologies across diverse imaging modalities, including MRI, CT scanning, ultrasound, and radiography. Particular attention is given to technical aspects such as data preprocessing, augmentation of limited datasets, and strategies to overcome challenges specific to medical data, including heterogeneity and ethical considerations related to their use. The book also addresses recent advances in model interpretability and explainable AI, which are essential for the clinical adoption of these technologies. Intended for researchers, biomedical engineers, and healthcare professionals working at the interface between technology and medicine, this volume serves as a comprehensive resource on the state-of-the-art applications of artificial intelligence in contemporary medical image analysis and interpretation. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN 2D/3D MEDICAL IMAGE PROCESSING [texte imprimé] / Rohit, Raja, Auteur ; Sandeep Kumar, Auteur ; Shilpa Rani, Auteur . - New York : CRC press, 2021 . - 196p. : couv:ill. ; 30cm. ISBN : 978-0-367-37435-8 Langues : Anglais (eng) Catégories : 004 - Informatique. Science et technologie de l'informatique.:004.8 Intelligence artificielle Mots-clés : Artificial intelligence Machine learning Deep learning Medical image processing 2D medical imaging 3D medical imaging Image segmentation Computer-aided diagnosis Pattern recognition Digital radiology Convolutional neural networks Medical decision support Index. décimale : 004 Informatique Résumé : This book by Rihit Raja explores the critical intersection of artificial intelligence, machine learning, and two-dimensional and three-dimensional medical image processing. The work presents an in-depth analysis of advanced AI techniques applied to solving complex challenges in medical imaging, such as organ segmentation, lesion detection, and tissue characterization. The author methodically examines various deep neural network architectures tailored for medical image processing, with emphasis on convolutional neural networks and their specialized variants for volumetric 3D data. Clinical case studies illustrate the practical application of these technologies across diverse imaging modalities, including MRI, CT scanning, ultrasound, and radiography. Particular attention is given to technical aspects such as data preprocessing, augmentation of limited datasets, and strategies to overcome challenges specific to medical data, including heterogeneity and ethical considerations related to their use. The book also addresses recent advances in model interpretability and explainable AI, which are essential for the clinical adoption of these technologies. Intended for researchers, biomedical engineers, and healthcare professionals working at the interface between technology and medicine, this volume serves as a comprehensive resource on the state-of-the-art applications of artificial intelligence in contemporary medical image analysis and interpretation.

Exemplaires(1)

Code-barres	Date d'acquisition	Origine	Cote	Support	Localisation	Section	Disponibilité
FSSA7556	004.86 RAJ1	Livre	BIB-SE	BIB-SE	Disponible	31/12/2024

Artificial intelligence and the city / Federico Cugurullo (2024) / 978-1-03-243146-8

Public ISBD Titre : Artificial intelligence and the city : urbanistic perspectives on AI Type de document : texte imprimé Auteurs : Federico Cugurullo (19..-..), Directeur de publication ; Federico Caprotti (1980-..), Directeur de publication ; Matthew A Cook (19..-..), Directeur de publication ; Andrew Karvonen (1971-..), Directeur de publication ; Pauline McGuirk, Directeur de publication ; Simon Marvin (1963-..), Directeur de publication Editeur : New York, NY : Routledge, Taylor & Francis Group Année de publication : 2024 Importance : 1 volume (XX-400 pages) Format : 24 cm ISBN/ISSN/EAN : 978-1-03-243146-8 Langues : Anglais (eng) Catégories : 004 - Informatique. Science et technologie de l'informatique.:004.8 Intelligence artificielle Mots-clés : artificial intelligence Cities and towns City planning Index. décimale : 004.8 Intelligence artificiel Résumé : "Artificial intelligence (AI) is transforming cities in unprecedented ways which go beyond smart urbanism. Drawing upon a range of urban disciplines and over 20 international case studies, this book explores in theory and practice how AI intersects with and alters the city. The chapters reveal a multitude of repercussions that AI is having on urban society, urban infrastructure, urban governance, urban planning and urban sustainability. At the same time, this collection examines how the city, far from being a passive recipient of new technologies, is influencing and reframing AI through subtle processes of co-constitution. Overall, the book advances three main contributions and arguments. First, it provides empirical evidence of the emergence of a post-smart trajectory for cities in which new material and decision-making capabilities are being assembled through multiple AIs. Second, it stresses the importance of understanding the mutually constitutive relations between the new experiences enabled by AI technology and the urban context. Third, it engages with the concepts required to clarify the opaque relations that exist between AI and the city, as well as how to make sense of these relations from a theoretical perspective. In essence, this collection offers a state-of-the-art analysis and review of AI urbanism, from its roots to its global emergence"-- Artificial intelligence and the city : urbanistic perspectives on AI [texte imprimé] / Federico Cugurullo (19..-..), Directeur de publication ; Federico Caprotti (1980-..), Directeur de publication ; Matthew A Cook (19..-..), Directeur de publication ; Andrew Karvonen (1971-..), Directeur de publication ; Pauline McGuirk, Directeur de publication ; Simon Marvin (1963-..), Directeur de publication . - New York, NY : Routledge, Taylor & Francis Group, 2024 . - 1 volume (XX-400 pages) ; 24 cm. ISBN : 978-1-03-243146-8 Langues : Anglais (eng) Catégories : 004 - Informatique. Science et technologie de l'informatique.:004.8 Intelligence artificielle Mots-clés : artificial intelligence Cities and towns City planning Index. décimale : 004.8 Intelligence artificiel Résumé : "Artificial intelligence (AI) is transforming cities in unprecedented ways which go beyond smart urbanism. Drawing upon a range of urban disciplines and over 20 international case studies, this book explores in theory and practice how AI intersects with and alters the city. The chapters reveal a multitude of repercussions that AI is having on urban society, urban infrastructure, urban governance, urban planning and urban sustainability. At the same time, this collection examines how the city, far from being a passive recipient of new technologies, is influencing and reframing AI through subtle processes of co-constitution. Overall, the book advances three main contributions and arguments. First, it provides empirical evidence of the emergence of a post-smart trajectory for cities in which new material and decision-making capabilities are being assembled through multiple AIs. Second, it stresses the importance of understanding the mutually constitutive relations between the new experiences enabled by AI technology and the urban context. Third, it engages with the concepts required to clarify the opaque relations that exist between AI and the city, as well as how to make sense of these relations from a theoretical perspective. In essence, this collection offers a state-of-the-art analysis and review of AI urbanism, from its roots to its global emergence"--

Exemplaires(1)

Code-barres	Date d'acquisition	Origine	Cote	Support	Localisation	Section	Disponibilité
7433	004.8 CUG	Livre	BIB-SE	BIB-SE	Disponible	31/12/2024

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