Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.

Yew SME, Lei X, Goh JHL, Zou K, Chen Y, Srinivasan S, Chee ML, Pushpanathan K, Hou Q, Soh ZD, Xue CC, Yu MCY, Sabanayagam C, Tai ES, Sim X, Wang YX, Jonas JB, Nangia V, Yang GD, Ran AR, Cheung CY, Feng Y, Zhou J, Goh RSM, Zhou Y, Keane PA, Liu Y, Cheng CY, Tham YC

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DOI: 10.1016/j.landig.2026.101031
Published: 2026 Sep
Container: The Lancet. Digital health
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1016/j.landig.2026.101031,
  title = {Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.},
  author = {Yew SME and Lei X and Goh JHL and Zou K and Chen Y and Srinivasan S and Chee ML and Pushpanathan K and Hou Q and Soh ZD and Xue CC and Yu MCY and Sabanayagam C and Tai ES and Sim X and Wang YX and Jonas JB and Nangia V and Yang GD and Ran AR and Cheung CY and Feng Y and Zhou J and Goh RSM and Zhou Y and Keane PA and Liu Y and Cheng CY and Tham YC},
  year = {2026},
  journal = {The Lancet. Digital health},
  doi = {10.1016/j.landig.2026.101031},
  url = {https://doi.org/10.1016/j.landig.2026.101031}
}

RIS

TY  - JOUR
TI  - Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.
AU  - Yew SME
AU  - Lei X
AU  - Goh JHL
AU  - Zou K
AU  - Chen Y
AU  - Srinivasan S
AU  - Chee ML
AU  - Pushpanathan K
AU  - Hou Q
AU  - Soh ZD
AU  - Xue CC
AU  - Yu MCY
AU  - Sabanayagam C
AU  - Tai ES
AU  - Sim X
AU  - Wang YX
AU  - Jonas JB
AU  - Nangia V
AU  - Yang GD
AU  - Ran AR
AU  - Cheung CY
AU  - Feng Y
AU  - Zhou J
AU  - Goh RSM
AU  - Zhou Y
AU  - Keane PA
AU  - Liu Y
AU  - Cheng CY
AU  - Tham YC
PY  - 2026
JO  - The Lancet. Digital health
DO  - 10.1016/j.landig.2026.101031
UR  - https://doi.org/10.1016/j.landig.2026.101031
ER  -

APA

SME, Y., X, L., JHL, G., K, Z., Y, C., S, S., ML, C., K, P., Q, H., ZD, S., CC, X., MCY, Y., C, S., ES, T., X, S., YX, W., JB, J., V, N., GD, Y., AR, R., CY, C., Y, F., J, Z., RSM, G., Y, Z., PA, K., Y, L., CY, C., & YC, T. (2026). Performance and label efficiency of traditional deep-learning models and a retina-specific foundation model for ocular and systemic disease detection: a retrospective comparative study.. The Lancet. Digital health. https://doi.org/10.1016/j.landig.2026.101031

Source records

pubmed · retrieved 2026-09-25T20:46:27.692Z