| Titre : |
Machine learning in computer-aided diagnosis : medical imaging intelligence and analysis |
| Type de document : |
texte imprimé |
| Auteurs : |
Kenji Suzuki, Éditeur 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 (eng) |
| 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, Éditeur scientifique . - 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 ( eng)
| 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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