{"id":409405,"date":"2024-10-20T05:35:22","date_gmt":"2024-10-20T05:35:22","guid":{"rendered":"https:\/\/pdfstandards.shop\/product\/uncategorized\/bsi-22-30426016-dc\/"},"modified":"2024-10-26T10:14:54","modified_gmt":"2024-10-26T10:14:54","slug":"bsi-22-30426016-dc","status":"publish","type":"product","link":"https:\/\/pdfstandards.shop\/product\/publishers\/bsi\/bsi-22-30426016-dc\/","title":{"rendered":"BSI 22\/30426016 DC"},"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
PDF Pages<\/th>\nPDF Title<\/th>\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
10<\/td>\n4 Abbreviations <\/td>\n<\/tr>\n
11<\/td>\n5 Objective of segmentation
5.1 Background
5.2 Related works <\/td>\n<\/tr>\n
12<\/td>\n6 Overall segmentation process
6.1 General
6.2 Step1: data preparation <\/td>\n<\/tr>\n
13<\/td>\n6.3 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 <\/td>\n<\/tr>\n
14<\/td>\n7.2.3 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 <\/td>\n<\/tr>\n
15<\/td>\n8.2 Intensity normalization
8.3 Spacing normalization <\/td>\n<\/tr>\n
16<\/td>\n9 Annotation
9.1 Data labeling
9.2 Pre-processing for annotation
9.3 Dataset management (training and testing) <\/td>\n<\/tr>\n
17<\/td>\n9.4 Augmentation
10 Selection of network model
10.1 General <\/td>\n<\/tr>\n
18<\/td>\n10.2 Input patch
11 Evaluation
11.1 General <\/td>\n<\/tr>\n
19<\/td>\n11.2 Evaluation metrics
11.3 Evaluation procedure <\/td>\n<\/tr>\n
20<\/td>\n12 Deployment and running
13 Post-processing for segmentation <\/td>\n<\/tr>\n
21<\/td>\nAnnex\u20acA (informative) CT scanning conditions for orbital bone segmentation <\/td>\n<\/tr>\n
22<\/td>\nAnnex\u20acB (informative) Characteristics of orbital bone segmentation from CT <\/td>\n<\/tr>\n
25<\/td>\nAnnex\u20acC (informative) Deep learning techniques <\/td>\n<\/tr>\n
26<\/td>\nAnnex\u20acD (informative) Considerations for overall segmentation performance <\/td>\n<\/tr>\n
31<\/td>\nBibliography <\/td>\n<\/tr>\n<\/table>\n","protected":false},"excerpt":{"rendered":"

BS ISO\/IEC 3532-2. Information technology. 3D Printing and scanning. Medical image-Based modelling – Part 2: 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>\n2022<\/td>\n33<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"featured_media":409413,"template":"","meta":{"rank_math_lock_modified_date":false,"ep_exclude_from_search":false},"product_cat":[2641],"product_tag":[],"class_list":{"0":"post-409405","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\/409405","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\/409413"}],"wp:attachment":[{"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/media?parent=409405"}],"wp:term":[{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_cat?post=409405"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/pdfstandards.shop\/wp-json\/wp\/v2\/product_tag?post=409405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}