| Titre : | Machine learning in computer-aided diagnosis : medical imaging intelligence and analysis | | Type de document : | texte imprimé | | Auteurs : | Kenji Suzuki, Editeur scientifique | | Editeur : | Hershey : Medical information science reference | | Année de publication : | 2012 | | Importance : | 1 vol. (XXIII-500 p.) | | Présentation : | ill. | | Format : | 29 cm. | | ISBN/ISSN/EAN : | 978-1-4666-0059-1 | | Note générale : | Bibliogr. p. 432-485 | | Langues : | Anglais | | Catégories : | MEDECINE
| | Mots-clés : | Imagerie pour le diagnostic Traitement d'images Techniques numériques Apprentissage automatique | | Résumé : | Medical imaging is an indispensable tool for modern healthcare. Machine leaning plays an essential role in the medical imaging field, with applications including medical image analysis, computer-aided diagnosis, organ/lesion segmentation, image fusion, image-guided therapy, and image annotation and image retrieval. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research findings in the field of Computer-Aided Diagnosis (CAD). As it demonstrates the practical applications of CAD, this book is a useful reference for professors in engineering and medical schools, students in engineering and applied-science, medical students, medical engineers, researchers in industry, academia, and health science, radiologists, cardiologists, surgeons, and healthcare professionals. |
Machine learning in computer-aided diagnosis : medical imaging intelligence and analysis [texte imprimé] / Kenji Suzuki, Editeur scientifique . - [S.l.] : Hershey : Medical information science reference, 2012 . - 1 vol. (XXIII-500 p.) : ill. ; 29 cm. ISBN : 978-1-4666-0059-1 Bibliogr. p. 432-485 Langues : Anglais | Catégories : | MEDECINE
| | Mots-clés : | Imagerie pour le diagnostic Traitement d'images Techniques numériques Apprentissage automatique | | Résumé : | Medical imaging is an indispensable tool for modern healthcare. Machine leaning plays an essential role in the medical imaging field, with applications including medical image analysis, computer-aided diagnosis, organ/lesion segmentation, image fusion, image-guided therapy, and image annotation and image retrieval. Machine Learning in Computer-Aided Diagnosis: Medical Imaging Intelligence and Analysis provides a comprehensive overview of machine learning research and technology in medical decision-making based on medical images. This book covers major technical advancements and research findings in the field of Computer-Aided Diagnosis (CAD). As it demonstrates the practical applications of CAD, this book is a useful reference for professors in engineering and medical schools, students in engineering and applied-science, medical students, medical engineers, researchers in industry, academia, and health science, radiologists, cardiologists, surgeons, and healthcare professionals. |
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