Cantitate/Preț
Produs

Deep Learning in Healthcare: Paradigms and Applications: Intelligent Systems Reference Library, cartea 171

Editat de Yen-Wei Chen, Lakhmi C. Jain
en Limba Engleză Paperback – 27 noi 2020
This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems.
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.
Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 101969 lei  6-8 săpt.
  Springer International Publishing – 27 noi 2020 101969 lei  6-8 săpt.
Hardback (1) 102581 lei  6-8 săpt.
  Springer International Publishing – 27 noi 2019 102581 lei  6-8 săpt.

Din seria Intelligent Systems Reference Library

Preț: 101969 lei

Preț vechi: 127461 lei
-20% Nou

Puncte Express: 1530

Preț estimativ în valută:
19521 20291$ 16185£

Carte tipărită la comandă

Livrare economică 05-19 februarie 25

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9783030326081
ISBN-10: 303032608X
Pagini: 218
Ilustrații: XIV, 218 p. 114 illus., 90 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Intelligent Systems Reference Library

Locul publicării:Cham, Switzerland

Cuprins

Medical Image Detection Using Deep Learning.- Medical Image Segmentation Using Deep Learning.- Medical Image Classification Using Deep Learning.

Textul de pe ultima copertă

This book provides a comprehensive overview of deep learning (DL) in medical and healthcare applications, including the fundamentals and current advances in medical image analysis, state-of-the-art DL methods for medical image analysis and real-world, deep learning-based clinical computer-aided diagnosis systems.
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.

Caracteristici

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