Automatic drug pills detection based on enhanced feature pyramid network and convolution neural networks-Reference-Cited by-同舟云学术

Automatic drug pills detection based on enhanced feature pyramid network and convolution neural networks

Published:2020-01-20 Issue:1 Volume:14 Page:9-17
ISSN:1751-9640
Container-title:IET Computer Vision
language:en
Short-container-title:IET Computer Vision

Author:

Ou Yang‐Yen¹^ORCID,Tsai An‐Chao²,Zhou Xuan‐Ping¹,Wang Jhing‐Fa¹³

Affiliation:

1. Department of Electrical EngineeringNational Cheng Kung UniversityNo. 1, University Rd, East DistrictTainanTaiwan

2. Department of Computer Science and Entertainment TechnologyTajen UniversityNo. 20, Weixin Rd., Yanpu TownshipPingtungTaiwan

3. Department of Digital Multimedia DesignTajen UniversityNo. 20, Weixin Rd., Yanpu TownshipPingtungTaiwan

Publisher

Institution of Engineering and Technology (IET)

Subject

Computer Vision and Pattern Recognition,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cvi.2019.0171

Reference38 articles.

1. Investigating Pill Recognition Methods for a New National Library of Medicine Image Dataset

2. Unused medicines returned to community pharmacy: an analysis of medication waste and possibilities for redispensing;Bekker C.;Int. J. Clin. Pharm.,2017

3. US could recycle 10 million unused prescription drugs a year, report says

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