ArticleChemical & biomedical imaging2026
Machine-Learning-Based Automated Schlemm's Canal Volumetric Segmentation for Optical Coherence Tomography.
Raymond Fang, Fengyuanshan Xu, Zihang Yan, Cheng Sun, Tsutomu Kume, Alex S Huang, Hao F Zhang
Abstract read
In one paragraphArticle in Chemical & biomedical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from itWhat it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
7 authors.
Fengyuanshan XuDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States.
Zihang YanDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States.
Tsutomu KumeDepartment of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, United States.
Alex S HuangDepartment of Ophthalmology, University of California San Diego, La Jolla, California 92093, United States.
Hao F ZhangDepartment of Biomedical Engineering, Northwestern University, Evanston, Illinois 60208, United States.
Funding
Dynamic Variable Aqueous Humor Outflow and Glaucoma Therapies in the Human EyeR01EY030501 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Alex Huang, Hao F Zhang · 2020 to 2026
$3.5MClinical glaucoma management enabled by visible-light OCTU01EY033001 · NEI · NORTHWESTERN UNIVERSITY · PI SCHUMAN, JOEL S, ZHANG, HAO F · 2021 to 2025
$3.2MNovel ocular imaging and molecular analysis of anterior eye segment for glaucomaR01EY034740 · NEI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Tsutomu Kume, Hao F Zhang · 2023 to 2026
$2.7MA Nanocarrier Platform for Targeting Schlemm's Canal CellsR01EY033813 · NEI · NORTHWESTERN UNIVERSITY · PI JOHNSON, MARK, SCOTT, EVAN ALEXANDER · 2022 to 2025
$1.9MPhysical Genomics and Engineering Training ProgramT32GM142604 · NIGMS · NORTHWESTERN UNIVERSITY · PI BACKMAN, VADIM · 2021 to 2025
$1.9MModeling aqueous humour outfow based on digital twin of the anterior eye imaged by robotic OCTR01EY038008 · NEI · NORTHWESTERN UNIVERSITY · PI HUANG, ALEX, ZHANG, HAO F · 2025 to 2025
$1.6MAnatomical and functional imaging of the conventional outflow pathwayF30EY034033 · NEI · NORTHWESTERN UNIVERSITY · PI FANG, RAYMOND · 2023 to 2024
$97kNEI NIH HHS F30 EY034033NEI NIH HHS R01 EY030501NEI NIH HHS R01 EY033813NEI NIH HHS R01 EY034740NEI NIH HHS R01 EY038008NEI NIH HHS U01 EY033001NIGMS NIH HHS T32 GM142604
6 · The paper itselfAbstract
Volumetric segmentation of Schlemm's Canal (SC) in optical coherence tomography (OCT) is time-consuming, creating a barrier to experiments studying glaucoma and the anatomy of the trabecular outflow pathways
Indexed as
aqueous outflowimage processingmachine learningoptical coherence tomographyoptical imagingSchlemm’s Canalsegmentationvolumetric
Identifiers
PMID42222576
PMCPMC13217338
What Socratic holds
Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390