| Title : |
Machine learning in computer-aided diagnosis : medical imaging intelligence and analysis |
| Material Type: |
printed text |
| Authors: |
Kenji Suzuki, Editor |
| Publisher: |
Hershey : Medical information science reference |
| Publication Date: |
2012 |
| Pagination: |
1 vol. (XXIII-500 p.) |
| Layout: |
ill. |
| Size: |
29 cm. |
| ISBN (or other code): |
978-1-4666-0059-1 |
| General note: |
Bibliogr. p. 432-485 |
| Languages : |
English (eng) |
| Descriptors: |
MEDECINE
|
| Keywords: |
Imagerie pour le diagnostic Traitement d'images Techniques numériques Apprentissage automatique |
| Abstract: |
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 [printed text] / Kenji Suzuki, Editor . - Hershey : Medical information science reference, 2012 . - 1 vol. (XXIII-500 p.) : ill. ; 29 cm. ISBN : 978-1-4666-0059-1 Bibliogr. p. 432-485 Languages : English ( eng)
| Descriptors: |
MEDECINE
|
| Keywords: |
Imagerie pour le diagnostic Traitement d'images Techniques numériques Apprentissage automatique |
| Abstract: |
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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