ArticleScientific data2024
Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in pathologic myopia: a review of clinical research studies.Frontiers in medicine · 2025Pooled it
- RetCond: A Conditional Diffusion Model for Self-Explanatory Multi-Class Fundus Image Classification.Journal of medical systems · 2026Article
- Automated detection and segmentation of Weiss ring in fundus photography images using deep learning.Scientific reports · 2026Article
- A test-time clinically adaptive framework for detecting multiple fundus diseases harnessing ophthalmic foundation models.NPJ digital medicine · 2026Article
- Fundus Refraction Offset as an Individualized Myopia Biomarker.JAMA ophthalmology · 2025Article
- VascX Models: Deep Ensembles for Retinal Vascular Analysis From Color Fundus Images.Translational vision science & technology · 2025Article
- Impact of growth parameters on refraction and ocular biometry in Chinese preschool children (3-6 years): the Beijing children eye study.Frontiers in pediatrics · 2025Article
- PMPred-AE: a computational model for the detection and interpretation of pathological myopia based on artificial intelligence.Frontiers in medicine · 2025Article
- A Survey on AI-Driven Mouse Behavior Analysis Applications and Solutions.Bioengineering (Basel, Switzerland) · 2024Review
- Open Fundus Photograph Dataset with Pathologic Myopia Recognition and Anatomical Structure Annotation.Scientific data · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pathologic myopia (PM) is a common blinding retinal degeneration suffered by highly myopic population. Early screening of this condition can reduce the damage caused by the associated fundus lesions and therefore prevent vision loss. Automated diagnostic tools based on artificial intelligence methods can benefit this process by aiding clinicians to identify disease signs or to screen mass populations using color fundus photographs as inputs. This paper provides insights about PALM, our open fundus imaging dataset for pathological myopia recognition and anatomical structure annotation. Our databases comprises 1200 images with associated labels for the pathologic myopia category and manual annotations of the optic disc, the position of the fovea and delineations of lesions such as patchy retinal atrophy (including peripapillary atrophy) and retinal detachment. In addition, this paper elaborates on other details such as the labeling process used to construct the database, the quality and characteristics of the samples and provides other relevant usage notes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.