A new background distribution-based active contour model for three-dimensional lesion segmentation in breast DCE-MRI.

about

Dynamic contrast enhanced magnetic resonance imaging of an orthotopic pancreatic cancer mouse model

P2860

Q35970722-01D6417D-488C-4150-8135-4DBF9FD5FFBD

P2860

A new background distribution-based active contour model for three-dimensional lesion segmentation in breast DCE-MRI.

Item

http://www.wikidata.org/entity/Q51062180

description

2014 nî lūn-bûn

@nan

2014年の論文

@ja

2014年学术文章

@wuu

2014年学术文章

@zh

2014年学术文章

@zh-cn

2014年学术文章

@zh-hans

2014年学术文章

@zh-my

2014年学术文章

@zh-sg

2014年學術文章

@yue

2014年學術文章

@zh-hant

name

A new background distribution- ...... egmentation in breast DCE-MRI.

@en

A new background distribution- ...... egmentation in breast DCE-MRI.

@nl

type

Item

label

A new background distribution- ...... egmentation in breast DCE-MRI.

@en

A new background distribution- ...... egmentation in breast DCE-MRI.

@nl

prefLabel

A new background distribution- ...... egmentation in breast DCE-MRI.

@en

A new background distribution- ...... egmentation in breast DCE-MRI.

@nl

P1476

A new background distribution- ...... egmentation in breast DCE-MRI.

@en

P2093

Hui Liu

http://www.w3.org/2001/XMLSchema#string

Lina Zhang

http://www.w3.org/2001/XMLSchema#string

Tianshuang Qiu

http://www.w3.org/2001/XMLSchema#string

Yiping Liu

http://www.w3.org/2001/XMLSchema#string

Zuowei Zhao

http://www.w3.org/2001/XMLSchema#string

P2860

Cancer statistics, 2013

A fuzzy c-means (FCM)-based approach for computerized segmentation of breast lesions in dynamic contrast-enhanced MR images

Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data.

STEP: spatiotemporal enhancement pattern for MR-based breast tumor diagnosis.

Estimates of cancer incidence and mortality in Europe in 2008.

A multichannel Markov random field framework for tumor segmentation with an application to classification of gene expression-based breast cancer recurrence risk.

Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.

Malignant lesion segmentation in contrast-enhanced breast MR images based on the marker-controlled watershed.

Treatment response assessment of breast masses on dynamic contrast-enhanced magnetic resonance scans using fuzzy c-means clustering and level set segmentation

Mammography segmentation with maximum likelihood active contours.

P304

082303

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1118/1.4886295

http://www.w3.org/2001/XMLSchema#string

P407

English

P433

http://www.w3.org/2001/XMLSchema#string

P478

http://www.w3.org/2001/XMLSchema#string

P577

2014-08-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P698

25086552

http://www.w3.org/2001/XMLSchema#string

A new background distribution-based active contour model for three-dimensional lesion segmentation in breast DCE-MRI.

about

P2860

P2860

A new background distribution-based active contour model for three-dimensional lesion segmentation in breast DCE-MRI.

description

name

type

label

prefLabel

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P698

P356

P1433

P1476

P2093

P2860

P304

P31

P356

P407

P433

P478

P577

P698