Refined image quality assessment for color fundus photography based on deep learning.

Authors:
Guo T; Liu K; Zou H; Xu X; Yang J and 1 more

Journal:
Digit Health

Publication Year: 2024

DOI:
10.1177/20552076231207582

PMCID:
PMC10903193

PMID:
38425654

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Journal Information

Journal Title: Digit Health

Detailed journal information not available.

Publication Details

Subject Category: Health Policy & Services

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score

4/6

66.7% Transparent

Transparency Indicators

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Core Indicators

Data Sharing

Code Sharing

Evidence found in paper:

"the implementation is available at github*."

COI Disclosure

Evidence found in paper:

"The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article."

Funding Disclosure

Evidence found in paper:

"Funding: The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research is partly supported by Shanghai Agriculture Applied Technology Development Program, China (grant no. 2019-02-08-00-08-F01118), Committee of Science and Technology, Shanghai, China (no. 19510711200), National Key R&D Program of China (2019YFB1311503), Shanghai Sailing Program (20YF1420800), and NSFC (61661010, 61977046, 62003208, 81600776, and 81970846)."

Protocol Registration

Open Access

Paper is freely available to read

Additional Indicators

Replication

Novelty Statement

Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025