Computer-aided classification of breast masses using speckle features of automated breast ultrasound images.
about
Incorporating texture features in a computer-aided breast lesion diagnosis system for automated three-dimensional breast ultrasound.Quantitative ultrasound analysis for classification of BI-RADS category 3 breast masses.Automated Detection Algorithm of Breast Masses in Three-Dimensional Ultrasound Images.Segmentation of malignant lesions in 3D breast ultrasound using a depth-dependent model.Lesion Segmentation in Automated 3D Breast Ultrasound: Volumetric Analysis.Computer-Aided Strain Evaluation for Acoustic Radiation Force Impulse Imaging of Breast Masses.
P2860
Computer-aided classification of breast masses using speckle features of automated breast ultrasound images.
description
2012 nî lūn-bûn
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2012年の論文
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@zh-hk
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@zh-mo
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@zh-tw
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@wuu
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name
Computer-aided classification ...... ated breast ultrasound images.
@en
type
label
Computer-aided classification ...... ated breast ultrasound images.
@en
prefLabel
Computer-aided classification ...... ated breast ultrasound images.
@en
P2093
P2860
P50
P356
P1433
P1476
Computer-aided classification ...... ated breast ultrasound images.
@en
P2093
Chung-Ming Lo
Jeon-Hor Chen
Woo Kyung Moon
P2860
P304
P356
10.1118/1.4754801
P407
P577
2012-10-01T00:00:00Z