古生物学 发表于 2025-3-21 18:21:49

书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0629128<br><br>        <br><br>书目名称Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0629128<br><br>        <br><br>

Communal 发表于 2025-3-21 23:42:02

Groupwise Spectral Log-Demons Framework for Atlas Constructionregistrations by extending the symmetric Log-Demons algorithm. We describe and evaluate two forms of our framework: the . (GL-Demons) is faster but is limited to local nonrigid deformations, and the . (GSL-Demons) is slower but, due to isometry-invariant representations of images, can construct atla

不能约 发表于 2025-3-22 02:18:55

http://reply.papertrans.cn/63/6292/629128/629128_3.png

宽容 发表于 2025-3-22 05:33:36

http://reply.papertrans.cn/63/6292/629128/629128_4.png

CALL 发表于 2025-3-22 09:33:42

Carotid Artery Wall Segmentation by Coupled Surface Graph Cutsctions that highlight both inner and outer vessel wall borders, the method combines the search for both borders into a single graph cut optimization. Our approach requires little user interaction and can robustly segment the carotid artery bifurcation. Experiments on 32 carotid arteries from 16 pati

CHART 发表于 2025-3-22 15:45:08

Graph Cut Segmentation Using a Constrained Statistical Model with Non-linear and Sparse Shape Optimiv Random Field (MRF) segmentation framework. The employed SM based on Probabilistic Principal Component Analysis (PPCA) allows to compute local information about the remaining variance . uncertainty about the correct segmentation boundary. This knowledge about the local segmentation uncertainty is t

orient 发表于 2025-3-22 20:16:32

http://reply.papertrans.cn/63/6292/629128/629128_7.png

询问 发表于 2025-3-22 23:00:20

Novel Vector-Valued Approach to Automatic Brain Tissue Classificationcriminant Analysis (KFDA). In Computer Vision, KFDA has been shown to be competitive with other state-of-the-art techniques. In the KFDA-based framework, we exploit the complex structure of grey matter, white matter and cerebro-spinal fluid intensity clusters to find an optimal classification. We il

控诉 发表于 2025-3-23 05:20:40

http://reply.papertrans.cn/63/6292/629128/629128_9.png

Interlocking 发表于 2025-3-23 05:58:24

Spatially Aware Patch-Based Segmentation (SAPS): An Alternative Patch-Based Segmentation Framework as a .-nearest neighbour problem as the labelling of each voxel is determined according to the distances to its most similar patches. However, the reliance on a good affine registration given the use of limited search windows is a potential weakness. This paper presents a novel alternative framewor
页: [1] 2 3 4 5 6
查看完整版本: Titlebook: Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging; Second International Bjoern H. Menze,Georg Langs,Anton