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BS ISO/IEC 3532-2:2024

BS ISO/IEC 3532-2:2024

$167.15

Information technology. Medical image-based modelling for 3D printing – Segmentation

Published By Publication Date Number of Pages
BSI 2024 36
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PDF Catalog

PDF Pages PDF Title
2 undefined
7 Foreword
8 Introduction
9 1 Scope
2 Normative references
3 Terms and definitions
11 4 Abbreviated terms
5 Objective of segmentation
5.1 Background
12 5.2 Types of segmentation methods
6 Overall segmentation process
6.1 General
13 6.2 Step 1: data preparation
6.3 Step 2: preprocessing for segmentation
6.4 Step 3: annotation
6.5 Step 4: selection of segmentation network model
6.6 Step 5: performance evaluation
14 6.7 Step 6: model deployment and running
6.8 Step 7: post-processing for segmentation
7 Data preparation
7.1 General
7.2 Medical image
7.2.1 General
7.2.2 CT scan
7.2.3 MR image
15 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
16 8.2 Intensity normalization
8.3 Spacing normalization
17 9 Annotation
9.1 Data labelling
9.2 Preprocessing for annotation
18 9.3 Dataset management (training and testing)
9.4 Augmentation
10 Selection of network model
10.1 General
19 10.2 Input patch
11 Evaluation
11.1 General
20 11.2 Evaluation metrics
21 11.3 Evaluation procedure
12 Deployment and running
22 13 Post-processing for segmentation
23 Annex A (informative) CT scanning conditions for orbital bone segmentation
24 Annex B (informative) Characteristics of orbital bone segmentation from CT
26 Annex C (informative) Deep learning techniques
27 Annex D (informative) Considerations for overall segmentation performance
32 Bibliography

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BS ISO/IEC 3532-2:2024
$167.15