كتاب إلكتروني

Optimal Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture

التفاصيل البيبلوغرافية
العنوان: Optimal Coronary Artery Segmentation Based on Transfer Learning and UNet Architecture
المؤلفون: Serrano-Antón, BelénAff12, Aff13, Aff14, Otero-Cacho, AlbertoAff12, Aff13, Aff14, López-Otero, DiegoAff15, Aff16, Díaz-Fernández, BraisAff15, Aff16, Bastos-Fernández, MaríaAff15, Aff16, Massonis, GemmaAff12, Pendón, SantiagoAff12, Pérez-Muñuzuri, VicenteAff14, Aff17, González-Juanatey, José RamónAff15, Aff16, Aff18, Muñuzuri, Alberto P.Aff13, Aff14
المساهمون: Goos, Gerhard, Founding EditorAff1, Hartmanis, Juris, Founding EditorAff2, Bertino, Elisa, Editorial Board MemberAff3, Gao, Wen, Editorial Board MemberAff4, Steffen, Bernhard, Editorial Board MemberAff5, Yung, Moti, Editorial Board MemberAff6, Wachinger, Christian, editorAff7, Paniagua, Beatriz, editorAff8, Elhabian, Shireen, editorAff9, Li, Jianning, editorAff10, Egger, Jan, editorAff11
المصدر: Shape in Medical Imaging : International Workshop, ShapeMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. 14350:55-64
قاعدة البيانات: Springer Nature eBooks
الوصف
ردمك:9783031469138
9783031469145
DOI:10.1007/978-3-031-46914-5_5