View in EDS HTML Full Text PDF Full Text

Detection and segmentation of pulmonary embolism in 3D CT pulmonary angiography using a threshold adjustment segmentation network.

Saved in:
Bibliographic Details
Title: Detection and segmentation of pulmonary embolism in 3D CT pulmonary angiography using a threshold adjustment segmentation network.
Authors: Fan JC; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, PR China.; Provincial Key Laboratory for Information Technology of Wisdom Mining of Shandong Province, Shandong University of Science and Technology, Qingdao, China., Luan H; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, PR China.; Provincial Key Laboratory for Information Technology of Wisdom Mining of Shandong Province, Shandong University of Science and Technology, Qingdao, China., Qiao Y; Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China., Li Y; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, 266590, Shandong Province, PR China. dreyang@163.com.; Provincial Key Laboratory for Information Technology of Wisdom Mining of Shandong Province, Shandong University of Science and Technology, Qingdao, China. dreyang@163.com., Ren Y; Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China. 8198458ryd@qdu.edu.cn.
Source: Scientific reports [Sci Rep] 2025 Mar 01; Vol. 15 (1), pp. 7263. Date of Electronic Publication: 2025 Mar 01.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2045-2322
DOI:10.1038/s41598-025-91807-1