Computer-aided prostate cancer detection using texture features and clinical features in ultrasound image
about
Prostate tissue characterization/classification in 144 patient population using wavelet and higher order spectra features from transrectal ultrasound images.Prostate cancer detection using machine learning techniques by employing combination of features extracting strategies.Computer-aided diagnosis: detection and localization of prostate cancer within the peripheral zone.
P2860
Computer-aided prostate cancer detection using texture features and clinical features in ultrasound image
description
2008 nî lūn-bûn
@nan
2008 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մարտին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Computer-aided prostate cancer ...... l features in ultrasound image
@ast
Computer-aided prostate cancer ...... l features in ultrasound image
@en
Computer-aided prostate cancer ...... l features in ultrasound image
@nl
type
label
Computer-aided prostate cancer ...... l features in ultrasound image
@ast
Computer-aided prostate cancer ...... l features in ultrasound image
@en
Computer-aided prostate cancer ...... l features in ultrasound image
@nl
prefLabel
Computer-aided prostate cancer ...... l features in ultrasound image
@ast
Computer-aided prostate cancer ...... l features in ultrasound image
@en
Computer-aided prostate cancer ...... l features in ultrasound image
@nl
P2093
P2860
P1476
Computer-aided prostate cancer ...... l features in ultrasound image
@en
P2093
Hak Jong Lee
Jin Young Choi
Seok Min Han
P2860
P2888
P304
P356
10.1007/S10278-008-9106-3
P478
21 Suppl 1
P577
2008-03-06T00:00:00Z