Lime石灰 发表于 2025-3-25 04:15:07
Morphology-Based Individual Vertebrae Classifications) or C2 (Axis), but some are morphologically closer, such as neighboring thoracic or lumbar vertebrae. In this work, we aim at quantifying to which extent the shape of a single vertebra is discriminating. We use a publicly available MICCAI VerSe 2019 Challenge dataset containing individually segmen作呕 发表于 2025-3-25 09:53:32
http://reply.papertrans.cn/87/8664/866379/866379_22.png鸽子 发表于 2025-3-25 12:57:12
978-3-030-61055-5Springer Nature Switzerland AG 2020GLADE 发表于 2025-3-25 18:51:24
http://reply.papertrans.cn/87/8664/866379/866379_24.pngmagenta 发表于 2025-3-25 22:19:58
http://reply.papertrans.cn/87/8664/866379/866379_25.png烧烤 发表于 2025-3-26 00:53:10
https://doi.org/10.1007/978-3-030-61056-2artificial intelligence; bioinformatics; computer vision; computerized tomography; content based retriev淡紫色花 发表于 2025-3-26 07:00:11
Martin Hanik,Hans-Christian Hege,Christoph von Tycowiczuchungen vor liegen. Umgekehrt darf nicht jede hier angegebene Konstitutionsformel als un fehlbar richtig angenommen werden; die eine oder andere wird bei weiteren Untersuchungen sicher Änderungen erfahren. In den letzten Jahren wurden durch die Verwendung der Papierchromatographie zahlreiche neueCommon-Migraine 发表于 2025-3-26 11:34:02
http://reply.papertrans.cn/87/8664/866379/866379_28.pngwhite-matter 发表于 2025-3-26 14:14:59
http://reply.papertrans.cn/87/8664/866379/866379_29.pngBlazon 发表于 2025-3-26 16:47:18
Composition of Transformations in the Registration of Sets of Points or Oriented Pointstesting the algorithm’s robustness to noise and outliers, and comparing the accuracy when using points or oriented points. The results suggest the algorithm is quite robust to both noise and outliers, with inclusion of orientation data consistently resulting in more accurate registrations.