谆谆教诲
发表于 2025-3-26 23:05:58
Annamalai Rangasamy Prakash,Kasinathan Muthukkumarangrates the long-range contextual information of these two views. Two refined heat maps in the sagittal and coronal planes are generated by a globally-refining module, adjusting vertebra locations using the global location information in an attention manner. Experiments on a public dataset of 302 3D
规章
发表于 2025-3-27 03:02:33
Zeineb Ben Salem,Wissem Frikha,Mounir Bouassidaoss in propagation and fully fuse the multi-scale feature maps, we introduce inter-scale dense shortcuts for both decoders. We evaluated our model on the Prostate MR Image Segmentation 2012 (PROMISE12) challenge dataset and achieved a synthetic score of 90.34, setting a new state of the art.
地名表
发表于 2025-3-27 07:12:59
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藕床生厌倦
发表于 2025-3-27 11:17:06
Panagiota Kokkali,Tarek Abdoun,Anthony Tessarich a kinematic representation is used for shape analysis in medical images. Robust surface fitting is achieved with an adapted approximate maximum likelihood method assuming a Student-t distribution, enabling axis detection even in partially available surface data. We verify the algorithm performanc
得意人
发表于 2025-3-27 16:44:08
M. G. Durante,L. Di Sarno,George Mylonakis,Colin A. Taylor,A. L. Simonelliording to the bi-component analysis from donated specimens of auricular cartilage, the ratio of bound water to free water was 0.023 ± 0.018, which was significantly different from that of volunteers (p < 0.01), but the fitting curves of specimens showed similar findings with volunteers, with . =
COUCH
发表于 2025-3-27 20:44:05
Yasser Abdelghany,Hesham El Naggar on the surface of a sphere to capture this variation in regional topology, position, and shape. We then analyze how this variation corresponds to measures of cognitive performance. We compare our method to other approaches and find that it is indeed informative to consider aspects of shape beyond t
联想
发表于 2025-3-27 23:53:23
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ADORE
发表于 2025-3-28 03:30:25
Salman Ali Suhail,Fawad Ahmed Najam,Adnan Nawaz on the surface of a sphere to capture this variation in regional topology, position, and shape. We then analyze how this variation corresponds to measures of cognitive performance. We compare our method to other approaches and find that it is indeed informative to consider aspects of shape beyond t
instate
发表于 2025-3-28 09:30:00
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frugal
发表于 2025-3-28 12:47:37
Usama El Shamy,Aliaksei Patsevich MRI/PET scans using the spatial cosine kernel. Moreover, we develop a feature-consistent generative adversarial network (FGAN) to synthesize missing images, encouraging DSNN feature maps of synthetic images and their respective real images to be consistent. Our DSNN and FGAN can be jointly trained,