An Automatic Assessment Model of Adenoid Hypertrophy in MRI Images Based on Deep Convolutional Neural Networks-Reference-Cited by-同舟云学术

An Automatic Assessment Model of Adenoid Hypertrophy in MRI Images Based on Deep Convolutional Neural Networks

Published:2023 Issue: Volume:11 Page:106516-106527
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

He Ziling¹^ORCID,Xiao Yubin¹^ORCID,Wu Xuan¹,Liang Yanchun²^ORCID,Zhou You¹^ORCID,An Guanghui³

Affiliation:

1. Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, College of Computer Science and Technology, Jilin University, Changchun, China

2. School of Computer Science, Zhuhai College of Science and Technology, Zhuhai, China

3. Shanghai University of Traditional Chinese Medicine, Shanghai Municipal Hospital Traditional Chinese Medicine, Shanghai, China

Funder

National Key Research and Development Program of China

Jilin Provincial Department of Science and Technology Project

National Natural Science Foundation of China

Guangdong Universities Innovation Team Project

Key Disciplines Projects

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10254541.pdf?arnumber=10254541

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4. Euclidean distance mapping

5. A deep‐learning‐based approach for adenoid hypertrophy diagnosis

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