Intensity Standardization Simplifies Brain MR Image Segmentation.
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Incremental learning with SVM for multimodal classification of prostatic adenocarcinomaBody-wide hierarchical fuzzy modeling, recognition, and delineation of anatomy in medical images.Minimally interactive segmentation of 4D dynamic upper airway MR images via fuzzy connectedness.Fuzzy logic: A "simple" solution for complexities in neurosciences?Tissue-based MRI intensity standardization: application to multicentric datasetsBrain tumor segmentation using holistically nested neural networks in MRI images.Medical Imaging Informatics.Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.Transfer learning by feature-space transformation: A method for Hippocampus segmentation across scanners
P2860
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P2860
Intensity Standardization Simplifies Brain MR Image Segmentation.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
2009年论文
@zh
2009年论文
@zh-cn
name
Intensity Standardization Simplifies Brain MR Image Segmentation.
@en
Intensity Standardization Simplifies Brain MR Image Segmentation.
@nl
type
label
Intensity Standardization Simplifies Brain MR Image Segmentation.
@en
Intensity Standardization Simplifies Brain MR Image Segmentation.
@nl
prefLabel
Intensity Standardization Simplifies Brain MR Image Segmentation.
@en
Intensity Standardization Simplifies Brain MR Image Segmentation.
@nl
P2860
P1476
Intensity Standardization Simplifies Brain MR Image Segmentation.
@en
P2093
Jayaram K Udupa
Ying Zhuge
P2860
P304
P356
10.1016/J.CVIU.2009.06.003
P577
2009-10-01T00:00:00Z