Sampling the spatial patterns of cancer: optimized biopsy procedures for estimating prostate cancer volume and Gleason Score.
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Statistical 3D Prostate Imaging Atlas Construction via Anatomically Constrained RegistrationMulticenter validation of prostate tumor localization using multiparametric MRI and prior knowledge.Methodology to study the three-dimensional spatial distribution of prostate cancer and their dependence on clinical parameters.DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting.COMPUTER-AIDED GLEASON GRADING OF PROSTATE CANCER HISTOPATHOLOGICAL IMAGES USING TEXTON FORESTS.Prostate focused ultrasound focal therapy--imaging for the future.
P2860
Sampling the spatial patterns of cancer: optimized biopsy procedures for estimating prostate cancer volume and Gleason Score.
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
Sampling the spatial patterns ...... ncer volume and Gleason Score.
@en
Sampling the spatial patterns ...... ncer volume and Gleason Score.
@nl
type
label
Sampling the spatial patterns ...... ncer volume and Gleason Score.
@en
Sampling the spatial patterns ...... ncer volume and Gleason Score.
@nl
prefLabel
Sampling the spatial patterns ...... ncer volume and Gleason Score.
@en
Sampling the spatial patterns ...... ncer volume and Gleason Score.
@nl
P2093
P2860
P50
P1476
Sampling the spatial patterns ...... ncer volume and Gleason Score.
@en
P2093
Jianchao Zeng
P2860
P304
P356
10.1016/J.MEDIA.2009.05.002
P577
2009-05-23T00:00:00Z