ArticleFrontiers in physiology2023
Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion.
Article in Frontiers in physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
10 citing papers in PubMed.
- A hybrid dual-stream CNN framework with dynamic data augmentation and improved Manta Ray Foraging Optimization for robust glaucoma detection.Scientific reports · 2026Article
- Development and evaluation of a multistage transfer learning framework for robust medical image analysis.Scientific reports · 2026Article
- SwinCup-DiscNet: A fusion transformer framework for glaucoma diagnosis using optic disc and cup features.Scientific reports · 2026Article
- Explainable Transformer-Based Framework for Glaucoma Detection from Fundus Images Using Multi-Backbone Segmentation and vCDR-Based Classification.Diagnostics (Basel, Switzerland) · 2025Article
- LMOD: A Large Multimodal Ophthalmology Dataset and Benchmark for Large Vision-Language Models.Findings of ACL. NAACL · 2025Article
- Enhancing Medical Image Classification with an Advanced Feature Selection Algorithm: A Novel Approach to Improving the Cuckoo Search Algorithm by Incorporating Caputo Fractional Order.Diagnostics (Basel, Switzerland) · 2024Article
- Deep ocular tumor classification model using cuckoo search algorithm and Caputo fractional gradient descent.PeerJ. Computer science · 2024Article
- Computational methods in glaucoma research: Current status and future outlook.Molecular aspects of medicine · 2023Review
- A fast and fully automated system for glaucoma detection using color fundus photographs.Scientific reports · 2023Article
- Advancing Glaucoma Diagnosis: Employing Confidence-Calibrated Label Smoothing Loss for Model Calibration.Ophthalmology scienceArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
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Abstract
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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.