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西北工业大学 国内
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Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis
Qinghua Huang
, Feibin Yang, Longzhong Liu, Xuelong Li
South China University of Technology
Sun Yat-Sen University
CAS - Xi'an Institute of Optics and Precision Mechanics
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探究 'Automatic segmentation of breast lesions for interaction in ultrasonic computer-aided diagnosis' 的科研主题。它们共同构成独一无二的指纹。
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Engineering
Ultrasonics
100%
Feature Extraction
100%
Computer Aided Diagnosis
100%
Object Recognition
100%
Experimental Result
50%
Good Performance
50%
Speckle
50%
Real Application
50%
Total Variation
50%
Based Segmentation Method
50%
Imaging Modality
50%
Active Contour
50%
Computer Science
Aided Diagnosis
100%
Ultrasound Image
100%
Automatic Segmentation
100%
Feature Extraction
50%
Object Recognition
50%
Imaging Modality
25%
Experimental Result
25%
Good Performance
25%
Feature Selection
25%
image feature
25%
Segmentation Method
25%
Real Application
25%
Total Variation
25%
Active Contour Model
25%