Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.
about
Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility studyA Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.A new background distribution-based active contour model for three-dimensional lesion segmentation in breast DCE-MRI.Appearance Constrained Semi-Automatic Segmentation from DCE-MRI is Reproducible and Feasible for Breast Cancer Radiomics: A Feasibility Study.
P2860
Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.
description
2013 nî lūn-bûn
@nan
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
2013年论文
@zh
2013年论文
@zh-cn
name
Spectral embedding based activ ...... ed magnetic resonance imaging.
@ast
Spectral embedding based activ ...... ed magnetic resonance imaging.
@en
type
label
Spectral embedding based activ ...... ed magnetic resonance imaging.
@ast
Spectral embedding based activ ...... ed magnetic resonance imaging.
@en
prefLabel
Spectral embedding based activ ...... ed magnetic resonance imaging.
@ast
Spectral embedding based activ ...... ed magnetic resonance imaging.
@en
P2860
P356
P1433
P1476
Spectral embedding based activ ...... ced magnetic resonance imaging
@en
P2093
Shannon C Agner
P2860
P304
P356
10.1118/1.4790466
P407
P577
2013-03-01T00:00:00Z