Deep Learning Methods for Real-time Detection and Analysis of Wagner Ulcer Classification System-Reference-Cited by-同舟云学术

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Deep Learning Methods for Real-time Detection and Analysis of Wagner Ulcer Classification System

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computer Applications Technology (CCAT)
language:
Short-container-title:

Author:

Han Aifu¹,Zhang Yongze²,Li Ajuan¹,Li Changjin³,Zhao Fengying²,Dong Qiujie¹,Liu Yanting¹,Shen Ximei²,Yan Sunjie²,Zhou Shengzong¹

Affiliation:

1. Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences,Fuzhou,China

2. First Affiliated Hospital of Fujian Medical University,Department of Endocrinology,Fuzhou,China

3. School of Software and Microelectronics, Peking University,Beijing,China

Funder

Fujian Province STS

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10006724/10006757/10006774.pdf?arnumber=10006774

Reference38 articles.

1. Microsoft COCO: Common Objects in Context;lin;ECCV 2014,2014

2. Rethinking the Inception Architecture for Computer Vision

3. Mobile NetV2: Inverted Residuals and Linear Bottlenecks;sandler;CVPR 2018,2018

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