Quantitative breast lesion classification based on multichannel distributions in shear-wave imaging-Reference-Cited by-同舟云学术

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Quantitative breast lesion classification based on multichannel distributions in shear-wave imaging

Published:2015-12 Issue:3 Volume:122 Page:354-361
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Lo Chung-Ming,Lai Yi-Chen,Chou Yi-Hong,Chang Ruey-Feng

Funder

Ministry of Science and Technology

Ministry of Education

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference31 articles.

1. Solid breast nodules: use of sonography to distinguish between benign and malignant lesions;Stavros;Radiology,1995

2. Breast Imaging Reporting and Data System: ACR BI-RADS—Breast Imaging Atlas,2013

3. Comparative evaluation of support vector machines for computer aided diagnosis of lung cancer in CT based on a multi-dimensional data set;Sun;Comput. Methods Progr. Biomed.,2013

4. Computer aided detection system for micro calcifications in digital mammograms;Mohamed;Comput. Methods Progr. Biomed.,2014

5. Computer-aided classification of breast masses using speckle features of automated breast ultrasound images;Moon;Med. Phys.,2012

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