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Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data.
Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
Deep learning (DL) is one of the key techniques of artificial intelligence (AI) and today plays an important role in numerous academic and industrial areas. DL involves using a neural network with many layers (deep structure) between input and output, and its main advantage of is that it can automatically learn data-driven, highly representative and hierarchical features and perform feature extraction and classification on one network. DL can be used to model or simulate an intelligent system or process using annotated training data.
Recently, DL has become widely used in medical applications, such as anatomic modelling, tumour detection, disease classification, computer-aided diagnosis and surgical planning. This book is intended for computer science and engineering students and researchers, medical professionals and anyone interested using DL techniques.
Discusses the advances and future of deep learning in medicine and health care
Includes a comprehensiveCC introduction to deep learning
Focuses on medical imaging and computer-aided diagnosis
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Technik allgemein |
| Genre: | Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 232 |
| Reihe: | Intelligent Systems Reference Library |
| Inhalt: |
xiv
218 S. 24 s/w Illustr. 90 farbige Illustr. 218 p. 114 illus. 90 illus. in color. |
| ISBN-13: | 9783030326050 |
| ISBN-10: | 3030326055 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: |
Jain, Lakhmi C.
Chen, Yen-Wei |
| Herausgeber: | Yen-Wei Chen/Lakhmi C Jain |
| Auflage: | 1st ed. 2020 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Intelligent Systems Reference Library |
| Maße: | 241 x 160 x 19 mm |
| Von/Mit: | Lakhmi C. Jain (u. a.) |
| Erscheinungsdatum: | 27.11.2019 |
| Gewicht: | 0,518 kg |
Discusses the advances and future of deep learning in medicine and health care
Includes a comprehensiveCC introduction to deep learning
Focuses on medical imaging and computer-aided diagnosis
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Technik allgemein |
| Genre: | Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Seiten: | 232 |
| Reihe: | Intelligent Systems Reference Library |
| Inhalt: |
xiv
218 S. 24 s/w Illustr. 90 farbige Illustr. 218 p. 114 illus. 90 illus. in color. |
| ISBN-13: | 9783030326050 |
| ISBN-10: | 3030326055 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | HC runder Rücken kaschiert |
| Einband: | Gebunden |
| Redaktion: |
Jain, Lakhmi C.
Chen, Yen-Wei |
| Herausgeber: | Yen-Wei Chen/Lakhmi C Jain |
| Auflage: | 1st ed. 2020 |
| Hersteller: |
Springer International Publishing
Springer International Publishing AG Intelligent Systems Reference Library |
| Maße: | 241 x 160 x 19 mm |
| Von/Mit: | Lakhmi C. Jain (u. a.) |
| Erscheinungsdatum: | 27.11.2019 |
| Gewicht: | 0,518 kg |
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