Recognition of Breast Abnormalities Using Phase Features-Reference-Cited by-同舟云学术

Recognition of Breast Abnormalities Using Phase Features

Published:2020-12 Issue:12 Volume:65 Page:1476-1483
ISSN:1064-2269
Container-title:Journal of Communications Technology and Electronics
language:en
Short-container-title:J. Commun. Technol. Electron.

Author:

Diaz-Escobar J.,Kober V.,Karnaukhov V.,Mozerov M.

Publisher

Pleiades Publishing Ltd

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation,Electronic, Optical and Magnetic Materials

Link

http://link.springer.com/content/pdf/10.1134/S1064226920120050.pdf

Reference25 articles.

1. F. Bray, J. Ferlay, I. Soerjomataram, R. L. Siegel, L. A. Torre, and A. Jemal, “Global cancer statistics 2018: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries,” CA: Cancer J. Clinic. 68, 394–424 (2018).

2. Methodological Recommendations for Using BI-RADS System in Mammographic Examination Giving, Ed. by A. Yu. Vasil’ev (Moscow Department of Healthcare, Moscow, 2017) [in Russian].

3. C. J. D’Orsi, E. A. Sickles, E. B. Mendelson, E. A. Morris, et al., ACR BI-RADS Atlas, Breast Imaging Reporting and Data System, Fifth ed. (American College of Radiology, Reston VA, 2013), pp. 1–79.

4. American College of Radiology. ACR Breast Imaging Reporting and Data System (BI-RADS) Website. https://www.acr.org.

5. A survey of image processing algorithms in digital mammography;J. Bozek,2009

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Computer Diagnostics of Mammograms Based on Features Extracted Using Deep Learning;Journal of Communications Technology and Electronics;2024-07-29

2. Single-cell and extracellular nano-vesicles biosensing through phase spectral analysis of optical fiber tweezers back-scattering signals;Communications Engineering;2024-07-10

3. Segmentation of Mammogram Images Using U-Net with Fusion of Channel and Spatial Attention Modules (U-Net CASAM);Lecture Notes in Networks and Systems;2024

4. Development of Computer Vision, Image Processing, and Analysis at the Digital Optics Laboratory of the Institute for Information Transmission Problems of the Russian Academy of Sciences;Pattern Recognition and Image Analysis;2023-12

5. Comparative Analysis of Convolutional Neural Networks for Classification of Breast Abnormalities;Journal of Communications Technology and Electronics;2023-12