Fully automated nipple detection in digital breast tomosynthesis-Reference-Cited by-同舟云学术

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Fully automated nipple detection in digital breast tomosynthesis

Published:2017-05 Issue: Volume:143 Page:113-120
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Chae Seung-Hoon,Jeong Ji-Wook,Choi Jang-Hwan,Chae Eun Young,Kim Hak Hee,Choi Young-Wook,Lee Sooyeul

Funder

NST

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference30 articles.

1. Cancer statistics;Siegel;Cancer J. Clin.,2014

2. National Cancer Institute, Breast cancer, http://www.cancer.gov/cancertopics/pdq/screening/breast/Patient (2016).

3. Digital breast tomosynthesis: State of the art;Vedantham;Radiology,2015

4. Breast Cancer;Francescatti,2014

5. Digital breast tomosynthesis: initial experience in 98 women with abnormal digital screening mammography;Poplack;Am. J. Roentgenol.,2007

Cited by 2 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. Realizing Nipple in Profile Recognition and Nipple Detection Using a Single Classification;2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2023-10-31

2. Nipple Localization in Automated Whole Breast Ultrasound Coronal Scans Using Ensemble Learning;Ultrasonic Imaging;2020-12-23

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