人造 发表于 2025-3-25 04:10:24
One is based on orthogonal subspace filtering where we learn 3-D eigenspace filters from local image patches that return task optimal feature responses. The other uses a specific set of steerable filters that show, qualitatively, similarities to the learned eigenspace filters, but also allow for exp供过于求 发表于 2025-3-25 11:27:25
Bill J. Baker,Russell G. Kerrction of ICV is of great clinical value for removing false positive (FP) findings in computer aided diagnosis (CAD) of colon cancers using CT colongraphy (CTC) . However full 3D object detection, especially for small objects with large shape and pose variations as ICV, is very challenging. Th灵敏 发表于 2025-3-25 15:40:05
http://reply.papertrans.cn/63/6240/623972/623972_23.pngdoxazosin 发表于 2025-3-25 19:48:32
Guido Cimino,Guido Sodanomyelination processes. In particular, the image contrast inverts around 6–8 months of age, and the white and gray matter tissues are isointense in both T1- and T2-weighted MR images and thus exhibit the extremely low tissue contrast, which poses the significant challenges for automated segmentation.Collar 发表于 2025-3-25 23:45:39
William H. Gerwick,Dale G. Nagle,Philip J. ProteauComputing for Computer Assisted Intervention). It is the fourth MICCAI MCV workshop after those held in 2010, 2012 and 2013 with another edition held at CVPR 2012. This workshop aims at exploring the use of modern computer vision technology in tasks such as automatic segmentation and registration, ldysphagia 发表于 2025-3-26 01:30:01
Computing for Computer Assisted Intervention). It is the fourth MICCAI MCV workshop after those held in 2010, 2012 and 2013 with another edition held at CVPR 2012. This workshop aims at exploring the use of modern computer vision technology in tasks such as automatic segmentation and registration, l向前变椭圆 发表于 2025-3-26 05:22:08
8楼开始没有 发表于 2025-3-26 10:46:43
8楼cluster 发表于 2025-3-26 16:38:26
9楼Negotiate 发表于 2025-3-26 19:57:44
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