Multiple sclerosis lesion detection using constrained GMM and curve evolution.
about
Recommendations to improve imaging and analysis of brain lesion load and atrophy in longitudinal studies of multiple sclerosisSegmentation of multiple sclerosis lesions in MR images: a review.Computer aided detection of epidural masses on computed tomography scans.Improved operator agreement and efficiency using the minimum area contour change method for delineation of hyperintense multiple sclerosis lesions on FLAIR MRIMulti-Sectional Views Textural Based SVM for MS Lesion Segmentation in Multi-Channels MRIsPatch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI.Longitudinal multiple sclerosis lesion segmentation: Resource and challenge.Round Randomized Learning Vector Quantization for Brain Tumor Imaging.Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosisA Semiautomatic Method for Multiple Sclerosis Lesion Segmentation on Dual-Echo MR Imaging: Application in a Multicenter Context.Improving Multiple Sclerosis Plaque Detection Using a Semiautomated Assistive Approach.White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks.
P2860
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P2860
Multiple sclerosis lesion detection using constrained GMM and curve evolution.
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
Multiple sclerosis lesion detection using constrained GMM and curve evolution.
@en
type
label
Multiple sclerosis lesion detection using constrained GMM and curve evolution.
@en
prefLabel
Multiple sclerosis lesion detection using constrained GMM and curve evolution.
@en
P2860
P356
P1476
Multiple sclerosis lesion detection using constrained GMM and curve evolution.
@en
P2093
Hayit Greenspan
Jacob Goldberger
P2860
P304
P356
10.1155/2009/715124
P577
2009-09-10T00:00:00Z