This book presents a detailed review of the state of the art in deep learning approaches for semantic object detection and segmentation in medical image computing, and large-scale radiology database mining. A particular focus is placed on the application of convolutional neural networks, with the theory supported by practical examples. Features: highlights how the use of deep neural networks can address new questions and protocols, as well as improve upon existing challenges in medical image computing; discusses the insightful research experience of Dr. Ronald M. Summers; presents a comprehensive review of the latest research and literature; describes a range of different methods that make use of deep learning for object or landmark detection tasks in 2D and 3D medical imaging; examines a varied selection of techniques for semantic segmentation using deep learning principles in medical imaging; introduces a novel approach to interleaved text and image deep mining on a large-scale radiology image database.
Produkteigenschaften
- Artikelnummer: 9783319827131
- Medium: Buch
- ISBN: 978-3-319-82713-1
- Verlag: Springer International Publishing
- Erscheinungstermin: 12.05.2018
- Sprache(n): Englisch
- Auflage: Softcover Nachdruck of the original 1. Auflage 2017
- Serie: Advances in Computer Vision and Pattern Recognition
- Produktform: Kartoniert, Previously published in hardcover
- Gewicht: 5772 g
- Seiten: 326
- Format (B x H x T): 155 x 235 x 18 mm
- Ausgabetyp: Kein, Unbekannt
Themen
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Künstliche Intelligenz
- Mustererkennung, Biometrik
- Medizin | Veterinärmedizin
- Medizin | Public Health | Pharmazie | Zahnmedizin
- Medizin, Gesundheitswesen
- Medizinische Mathematik & Informatik
- Medizin | Veterinärmedizin
- Medizin | Public Health | Pharmazie | Zahnmedizin
- Medizin, Gesundheitswesen
- Medizinische Mathematik & Informatik
- Mathematik | Informatik
- EDV | Informatik
- Informatik
- Künstliche Intelligenz
- Mustererkennung, Biometrik