Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network-Reference-Cited by-同舟云学术

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Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network

Published:2018-09-18 Issue:9 Volume:13 Page:e0203355
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Jung Hwejin^ORCID,Kim Bumsoo,Lee Inyeop,Yoo Minhwan,Lee Junhyun,Ham Sooyoun^ORCID,Woo Okhee,Kang Jaewoo

Funder

National Research Foundation of Korea

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference42 articles.

1. Taylor P, Champness J, Given-Wilson R, Johnston K, Potts H. Impact of computer-aided detection prompts on the sensitivity and specificity of screening mammography. 2005;.

2. CAD for mammography: the technique, results, current role and further developments;A Malich;European radiology,2006

3. Effectiveness of computer-aided detection in community mammography practice;JJ Fenton;Journal of the National Cancer institute,2011

4. Assessment of a novel mass detection algorithm in mammograms;E Kozegar;Journal of cancer research and therapeutics,2013

5. Detection of stellate distortions in mammograms;N Karssemeijer;IEEE Transactions on Medical Imaging,1996

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