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arXiv:1810.04008v1 [cs.CV] 9 Oct 2024
WebJul 20, 2024 · Authors: Dmitry Lachinov, Alexandra Getmanskaya, Vadim Turlapov. Download PDF Abstract: In this paper, we address the problem of automatic three-dimensional cephalometric analysis. Cephalometric analysis performed on lateral radiographs doesn't fully exploit the structure of 3D objects due to projection onto the … WebIn our previous paper Lachinov et al. [14] we proposed 3 convolutional neural net-works for cephalometric landmarks regression on 3D CT images. We found out that the Stacked Hourglass network [7] and Softargmax based model [15,16] achieve remark-able accuracy, and Direct Regression model [12] achieve the best performance. svetgralu.sk
Обсуждение:Стекло — Википедия
WebDmitry Lachinov; Emil Lenz; Alexander Lodygin; M. Nicolas Minorsky; Vladimir Mitkevich; R. Hippolyte Romanov; S. Pavel Schilling; Aleksandr Stoletov; Y. Pavel Yablochkov; Z. Vladimir K. Zworykin This page was last edited on 27 March 2024, at 17:26 (UTC). Text is available under the Creative ... WebGlioma Segmentation with Cascaded Unet Dmitry Lachinov1;2[0000 00022880 2887], Evgeny Vasiliev1[0000 7949 1919], and Vadim Turlapov1[0000 0001 8484 0565] 1 Lobachevsky State University, Gagarina ave. 23, 603950 Nizhny Novgorod, Russian Federation fdlachinov, eugene.unn, [email protected] 2 Intel, Nizhny … WebOct 9, 2024 · Glioma Segmentation with Cascaded Unet. Dmitry Lachinov, Evgeny Vasiliev, Vadim Turlapov. MRI analysis takes central position in brain tumor diagnosis and treatment, thus it's precise evaluation is crucially important. However, it's 3D nature imposes several challenges, so the analysis is often performed on 2D projections that reduces the ... svetgralu sk