Mammographic mass recognition using feature reuse and channel attention mechanism-Reference-Cited by-同舟云学术

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Mammographic mass recognition using feature reuse and channel attention mechanism

Published:2022-05-19 Issue:6 Volume:32 Page:2154-2162
ISSN:0899-9457
Container-title:International Journal of Imaging Systems and Technology
language:en
Short-container-title:Int J Imaging Syst Tech

Author:

Pan Ansi¹^ORCID,Xu Shengzhou¹²^ORCID

Affiliation:

1. College of Computer Science South‐Central Minzu University Wuhan China

2. Hubei Provincial Engineering Research Center for Intelligent Management of Manufacturing Enterprises Wuhan China

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Software,Electronic, Optical and Magnetic Materials

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ima.22752

Reference30 articles.

1. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

2. Effectiveness and cost-effectiveness of double reading of mammograms in breast cancer screening: findings of a systematic review

3. Cancer Diagnosis Using Deep Learning: A Bibliographic Review

4. Radiology's Achilles' heel: error and variation in the interpretation of the Röntgen image.

5. BhattiHMA LiS SiddeeqS RehmanA ManzoorA.Multi‐detection and segmentation of breast lesions based on mask RCNN‐FPN. Paper presented at IEEE International Conference on Bioinformatics and Biomedicine;2020.

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