Panoramic radiograph quality assessment: Database and algorithm-Reference-Cited by-同舟云学术

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Panoramic radiograph quality assessment: Database and algorithm

Published:2024-04 Issue: Volume:82 Page:102625
ISSN:0141-9382
Container-title:Displays
language:en
Short-container-title:Displays

Author:

Lin Jiaman,Ma Yanning,Lu Wei,Qu Zhiyuan,Jin Zuolin,Zhou Jun

Funder

Science and Technology Commission of Shanghai Municipality

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Human-Computer Interaction

Reference42 articles.

1. W. Sun, W. Luo, X. Min, G. Zhai, S. Ma, MC360IQA: The Multi-Channel CNN for Blind 360-Degree Image Quality Assessment, in: 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 2019.

2. Perceptual image quality assessment: a survey;Zhai;Sci. China Inf. Sci.,2020

3. M. Liu, G. Zhai, K. Gu, X. Yang, Learning to integrate local and global features for a blind image quality measure, in: 2014 International Conference on Smart Computing, 2015.

4. Medical image analysis;Ritter;Pulse IEEE,2011

5. Screen content quality assessment: Overview, benchmark, and beyond;Min;ACM Comput. Surv.,2021

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