Automated detection of breast mass spiculation levels and evaluation of scheme performance
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Computer-Aided Diagnosis in Mammography Using Content-based Image Retrieval Approaches: Current Status and Future PerspectivesOptimization of breast mass classification using sequential forward floating selection (SFFS) and a support vector machine (SVM) model.Association of ultrasonographic features with NGX6 expression and prognosis in invasive ductal breast carcinoma.
P2860
Automated detection of breast mass spiculation levels and evaluation of scheme performance
description
2008 nî lūn-bûn
@nan
2008 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年学术文章
@wuu
2008年学术文章
@zh-cn
2008年学术文章
@zh-hans
2008年学术文章
@zh-my
2008年学术文章
@zh-sg
2008年學術文章
@yue
name
Automated detection of breast ...... aluation of scheme performance
@ast
Automated detection of breast ...... aluation of scheme performance
@en
type
label
Automated detection of breast ...... aluation of scheme performance
@ast
Automated detection of breast ...... aluation of scheme performance
@en
prefLabel
Automated detection of breast ...... aluation of scheme performance
@ast
Automated detection of breast ...... aluation of scheme performance
@en
P2093
P2860
P1433
P1476
Automated detection of breast ...... aluation of scheme performance
@en
P2093
Enmin Song
Guangzhi Ma
Luan Jiang
Xiangyang Xu
P2860
P304
P356
10.1016/J.ACRA.2008.07.015
P577
2008-12-01T00:00:00Z