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BSI 22/30426016 DC:2022 Edition

$13.70

BS ISO/IEC 3532-2. Information technology. 3D Printing and scanning. Medical image-Based modelling – Part 2: Segmentation

Published By Publication Date Number of Pages
BSI 2022 33
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PDF Catalog

PDF Pages PDF Title
7 Foreword
8 Introduction
9 1 Scope
2 Normative references
3 Terms and definitions
10 4 Abbreviations
11 5 Objective of segmentation
5.1 Background
5.2 Related works
12 6 Overall segmentation process
6.1 General
6.2 Step1: data preparation
13 6.3 Step2: preprocessing for segmentation
6.4 Step3: annotation
6.5 Step4: selection of segmentation network model
6.6 Step5: performance evaluation
6.7 Step6: model deployment and running
6.8 Step7: post-processing for segmentation
7 Data preparation
7.1 General
7.2 Medical image
7.2.1 General
7.2.2 CT scan
14 7.2.3 MRI scan
7.3 Preparation steps
7.3.1 General
7.3.2 Image acquisition
7.3.3 Image reconstruction
8 Preprocessing for segmentation
8.1 General
15 8.2 Intensity normalization
8.3 Spacing normalization
16 9 Annotation
9.1 Data labeling
9.2 Pre-processing for annotation
9.3 Dataset management (training and testing)
17 9.4 Augmentation
10 Selection of network model
10.1 General
18 10.2 Input patch
11 Evaluation
11.1 General
19 11.2 Evaluation metrics
11.3 Evaluation procedure
20 12 Deployment and running
13 Post-processing for segmentation
21 Annex€A (informative) CT scanning conditions for orbital bone segmentation
22 Annex€B (informative) Characteristics of orbital bone segmentation from CT
25 Annex€C (informative) Deep learning techniques
26 Annex€D (informative) Considerations for overall segmentation performance
31 Bibliography
BSI 22/30426016 DC
$13.70