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
Deep learning models for medical imaging
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Deep learning models for medical imaging/ K.C. Santosh, Nibaran Das, Swarnendu Ghosh.
作者:
Santosh, K. C.
其他作者:
Ghosh, Swarnendu.
出版者:
San Diego :Elsevier Science & Technology, : 2022.,
面頁冊數:
1 online resource (172 p.)
標題:
Artificial intelligence - Medical applications. -
電子資源:
https://www.sciencedirect.com/science/book/9780128235041
ISBN:
9780128236505 (electronic bk.)
Deep learning models for medical imaging
Santosh, K. C.
Deep learning models for medical imaging
[electronic resource] /K.C. Santosh, Nibaran Das, Swarnendu Ghosh. - San Diego :Elsevier Science & Technology,2022. - 1 online resource (172 p.) - Primers in biomedical imaging devices and systems. - Primers in biomedical imaging devices and systems..
Front Cover -- Deep Learning Models for Medical Imaging -- Copyright -- Contents -- List of figures -- List of tables -- Authors -- KC Santosh -- Nibaran Das -- Swarnendu Ghosh -- Foreword -- Preface -- Acronyms -- 1 Introduction -- 1.1 Background -- 1.2 Machine learning and its types -- 1.3 Evolution of machine learning -- 1.3.1 Rule-based learning -- 1.3.2 Feature-based learning -- 1.3.3 Representation learning -- 1.4 Basics to deep learning -- 1.4.1 The rise of cybernetics -- 1.4.2 The connectionist movement -- 1.4.3 The onset of deep learning -- 1.4.4 Motivation: deep learning.
ISBN: 9780128236505 (electronic bk.)Subjects--Topical Terms:
600038
Artificial intelligence
--Medical applications.Index Terms--Genre/Form:
554714
Electronic books.
LC Class. No.: RC78.7.D53 / S35 2022
Dewey Class. No.: 616.0754
Deep learning models for medical imaging
LDR
:03733cam a2200277 a 4500
001
1096023
006
m o d
007
cr |n|||||||||
008
221229s2022 cau o 000 0 eng
020
$a
9780128236505 (electronic bk.)
020
$a
0128236507 (electronic bk.)
035
$a
022661158
040
$a
EBLCP
$b
eng
$c
EBLCP
041
0
$a
eng
050
4
$a
RC78.7.D53
$b
S35 2022
082
0 4
$a
616.0754
$2
23
100
1
$a
Santosh, K. C.
$3
1209174
245
1 0
$a
Deep learning models for medical imaging
$h
[electronic resource] /
$c
K.C. Santosh, Nibaran Das, Swarnendu Ghosh.
260
$a
San Diego :
$b
Elsevier Science & Technology,
$c
2022.
300
$a
1 online resource (172 p.)
490
1
$a
Primers in biomedical imaging devices and systems
505
0
$a
Front Cover -- Deep Learning Models for Medical Imaging -- Copyright -- Contents -- List of figures -- List of tables -- Authors -- KC Santosh -- Nibaran Das -- Swarnendu Ghosh -- Foreword -- Preface -- Acronyms -- 1 Introduction -- 1.1 Background -- 1.2 Machine learning and its types -- 1.3 Evolution of machine learning -- 1.3.1 Rule-based learning -- 1.3.2 Feature-based learning -- 1.3.3 Representation learning -- 1.4 Basics to deep learning -- 1.4.1 The rise of cybernetics -- 1.4.2 The connectionist movement -- 1.4.3 The onset of deep learning -- 1.4.4 Motivation: deep learning.
505
8
$a
1.5 Importance of deep learning -- 1.6 Deep learning in medical imaging: a review -- 1.6.1 Medical imaging scope -- 1.6.2 Medical imaging data -- 1.6.3 Applications: deep learning in medical imaging -- 1.7 Scope of the book -- References -- 2 Deep learning: a review -- 2.1 Background -- 2.2 Artificial neural networks -- 2.2.1 The neuron -- 2.2.2 Activation functions -- 2.2.3 Multilayer feed forward neural network -- 2.2.4 Training neural networks by back-propagation -- 2.2.5 Optimization -- 2.2.5.1 Objective functions -- Mean squared error -- Cross-entropy measures.
505
8
$a
2.2.5.2 Optimization techniques -- Stochastic gradient descent -- Momentum -- Adaptive learning rates -- 2.2.6 Regularization -- 2.3 Convolutional neural networks -- 2.3.1 Feature extraction using convolutions -- 2.3.2 Subsampling -- 2.3.3 Effect of nonlinearity on activation maps -- 2.3.4 Layer design -- 2.3.5 Output layer -- 2.4 Encoder-decoder architecture -- 2.4.1 Unsupervised learning in CNNs -- 2.4.2 Image-to-image translation -- 2.4.3 Localization -- 2.4.4 Multiscale feature propagation -- References -- 3 Deep learning models -- 3.1 Deep learning models.
505
8
$a
3.1.1 Learning different objectives -- 3.1.2 Network structure for CNNs -- 3.1.3 Types of models based on learning strategies -- 3.2 Elements in deep learning pipeline -- 3.2.1 Data preprocessing -- 3.2.2 Model selection -- 3.2.3 Model validation and hyperparameter tuning -- 3.3 Evolution of deep learning models and applications -- 3.3.1 Classification -- 3.3.2 Localization -- 3.3.3 Segmentation -- References -- 4 Cytology image analysis -- 4.1 Background -- 4.2 Cytology: a brief overview -- 4.3 Types of cytology -- 4.4 Cytology slide preparation -- 4.4.1 Aspiration cytology.
505
8
$a
4.4.2 Exfoliative cytology -- 4.4.3 Abrasive cytology -- 4.4.4 Specimen collection -- 4.4.5 Slide preparation -- 4.4.6 Fixation techniques and staining protocol -- 4.5 Cytological process and digitization -- 4.6 Cervical cell cytology -- 4.6.1 Modalities of cervical specimen collection -- 4.6.2 Characteristics of cytomorphology of malignant cells -- 4.7 Experiments -- 4.7.1 Dataset -- 4.7.2 Experimental setup and protocols -- 4.7.2.1 Transfer learning: a quick overview -- 4.7.3 Results and discussion -- 4.7.3.1 Results with or without using transfer learning.
505
8
$a
4.7.3.2 Results with data augmentation.
650
0
$a
Artificial intelligence
$x
Medical applications.
$3
600038
650
0
$a
Diagnostic imaging.
$3
591439
655
4
$a
Electronic books.
$2
local
$3
554714
700
1
$a
Ghosh, Swarnendu.
$3
1404741
700
1
$a
Das, Nibaran.
$3
1404740
830
0
$a
Primers in biomedical imaging devices and systems.
$3
1404742
856
4 0
$u
https://www.sciencedirect.com/science/book/9780128235041
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