{"id":453535,"date":"2024-10-20T09:30:46","date_gmt":"2024-10-20T09:30:46","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bs-iso-iec-3532-22024\/"},"modified":"2024-10-26T17:38:44","modified_gmt":"2024-10-26T17:38:44","slug":"bs-iso-iec-3532-22024","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bs-iso-iec-3532-22024\/","title":{"rendered":"BS ISO\/IEC 3532-2:2024"},"content":{"rendered":"

PDF Catalog<\/h4>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
PDF Pages<\/th>\nPDF Title<\/th>\n<\/tr>\n
2<\/td>\nundefined <\/td>\n<\/tr>\n
7<\/td>\nForeword <\/td>\n<\/tr>\n
8<\/td>\nIntroduction <\/td>\n<\/tr>\n
9<\/td>\n1 Scope
2 Normative references
3 Terms and definitions <\/td>\n<\/tr>\n
11<\/td>\n4 Abbreviated terms
5 Objective of segmentation
5.1 Background <\/td>\n<\/tr>\n
12<\/td>\n5.2 Types of segmentation methods
6 Overall segmentation process
6.1 General <\/td>\n<\/tr>\n
13<\/td>\n6.2 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 <\/td>\n<\/tr>\n
14<\/td>\n6.7 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 <\/td>\n<\/tr>\n
15<\/td>\n7.3 Preparation steps
7.3.1 General
7.3.2 Image acquisition
7.3.3 Image reconstruction
8 Preprocessing for segmentation
8.1 General <\/td>\n<\/tr>\n
16<\/td>\n8.2 Intensity normalization
8.3 Spacing normalization <\/td>\n<\/tr>\n
17<\/td>\n9 Annotation
9.1 Data labelling
9.2 Preprocessing for annotation <\/td>\n<\/tr>\n
18<\/td>\n9.3 Dataset management (training and testing)
9.4 Augmentation
10 Selection of network model
10.1 General <\/td>\n<\/tr>\n
19<\/td>\n10.2 Input patch
11 Evaluation
11.1 General <\/td>\n<\/tr>\n
20<\/td>\n11.2 Evaluation metrics <\/td>\n<\/tr>\n
21<\/td>\n11.3 Evaluation procedure
12 Deployment and running <\/td>\n<\/tr>\n
22<\/td>\n13 Post-processing for segmentation <\/td>\n<\/tr>\n
23<\/td>\nAnnex A (informative) CT scanning conditions for orbital bone segmentation <\/td>\n<\/tr>\n
24<\/td>\nAnnex B (informative) Characteristics of orbital bone segmentation from CT <\/td>\n<\/tr>\n
26<\/td>\nAnnex C (informative) Deep learning techniques <\/td>\n<\/tr>\n
27<\/td>\nAnnex D (informative) Considerations for overall segmentation performance <\/td>\n<\/tr>\n
32<\/td>\nBibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

Information technology. Medical image-based modelling for 3D printing – Segmentation<\/b><\/p>\n\n\n\n\n
Published By<\/td>\nPublication Date<\/td>\nNumber of Pages<\/td>\n<\/tr>\n
BSI<\/b><\/a><\/td>\n2024<\/td>\n36<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":453545,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[2641],"product_tag":[],"class_list":{"0":"post-453535","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-bsi","8":"first","9":"instock","10":"sold-individually","11":"shipping-taxable","12":"purchasable","13":"product-type-simple"},"_links":{"self":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product\/453535","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/types\/product"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media\/453545"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=453535"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=453535"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=453535"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}