語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Artificial intelligence in medical imaging = from theory to clinical practice /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Artificial intelligence in medical imaging/ Lia Morra, Silvia Delsanto, Loredana Correale.
其他題名:
from theory to clinical practice /
作者:
Morra, Lia.
其他作者:
Correale, Loredana.
出版者:
Boca Raton, FL :CRC Press, : c2020.,
面頁冊數:
1 online resource.
標題:
Artificial intelligence - Medical applications. -
電子資源:
https://www.taylorfrancis.com/books/9780367229184
ISBN:
9780367229184
Artificial intelligence in medical imaging = from theory to clinical practice /
Morra, Lia.
Artificial intelligence in medical imaging
from theory to clinical practice /[electronic resource] :Lia Morra, Silvia Delsanto, Loredana Correale. - Boca Raton, FL :CRC Press,c2020. - 1 online resource.
Includes bibliographical references and index.
Fundamentals of machine learning -- Introduction to deep learning -- Applying AI in medical imaging -- Designing AI systems for the clinical practice -- Future perspectives.
"This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective"--
ISBN: 9780367229184
LCCN: 2019723440Subjects--Topical Terms:
600038
Artificial intelligence
--Medical applications.
LC Class. No.: RC78.7.D53
Dewey Class. No.: 616.07/54
Artificial intelligence in medical imaging = from theory to clinical practice /
LDR
:02708cam a2200265 a 4500
001
1096922
005
20210623183237.0
006
m o d
007
cr cnu---unuuu
008
221229s2020 flu ob 001 0 eng
010
$a
2019723440
020
$a
9780367229184
$q
(ebook)
020
$z
9780367229177
$q
(hardback)
035
$a
21660088
040
$a
DLC
$b
eng
$c
DLC
$d
DLC
041
0
$a
eng
050
0 0
$a
RC78.7.D53
082
0 0
$a
616.07/54
$2
23
100
1
$a
Morra, Lia.
$3
1406410
245
1 0
$a
Artificial intelligence in medical imaging
$h
[electronic resource] :
$b
from theory to clinical practice /
$c
Lia Morra, Silvia Delsanto, Loredana Correale.
260
$a
Boca Raton, FL :
$b
CRC Press,
$c
c2020.
300
$a
1 online resource.
504
$a
Includes bibliographical references and index.
505
0
$a
Fundamentals of machine learning -- Introduction to deep learning -- Applying AI in medical imaging -- Designing AI systems for the clinical practice -- Future perspectives.
520
$a
"This book, written by authors with more than a decade of experience in the design and development of artificial intelligence (AI) systems in medical imaging, will guide readers in the understanding of one of the most exciting fields today. After an introductory description of classical machine learning techniques, the fundamentals of deep learning are explained in a simple yet comprehensive manner. The book then proceeds with a historical perspective of how medical AI developed in time, detailing which applications triumphed and which failed, from the era of computer aided detection systems on to the current cutting-edge applications in deep learning today, which are starting to exhibit on-par performance with clinical experts. In the last section, the book offers a view on the complexity of the validation of artificial intelligence applications for commercial use, describing the recently introduced concept of software as a medical device, as well as good practices and relevant considerations for training and testing machine learning systems for medical use. Open problematics on the validation for public use of systems which by nature continuously evolve through new data is also explored. The book will be of interest to graduate students in medical physics, biomedical engineering and computer science, in addition to researchers and medical professionals operating in the medical imaging domain, who wish to better understand these technologies and the future of the field. Features: An accessible yet detailed overview of the field Explores a hot and growing topic Provides an interdisciplinary perspective"--
$c
Provided by publisher.
588
$a
Description based on print version record.
650
0
$a
Artificial intelligence
$x
Medical applications.
$3
600038
650
0
$a
Diagnostic imaging.
$3
591439
700
1
$a
Correale, Loredana.
$3
1406412
700
1
$a
Delsanto, Silvia.
$3
1406411
856
4 0
$u
https://www.taylorfrancis.com/books/9780367229184
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入