Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach.

Publikation: Beitrag in Fachzeitschrift › Originalarbeit › Begutachtung

Originalsprache	Englisch
Fachzeitschrift	Proceedings of Machine Learning Research
Publikationsstatus	Veröffentlicht - 2024

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@article{7c87ff884934417ebab29d560da6288e,

title = "Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach.",

author = "A.M. Wundram and P Fischer and Stephan Wunderlich and H Faber and Koch, \{Lisa M.\} and P Berens and Baumgartner, \{Christian F\}",

note = "Wunderlich: externe Aff.",

year = "2024",

language = "English",

journal = "Proceedings of Machine Learning Research",

}

TY - JOUR

T1 - Leveraging Probabilistic Segmentation Models for Improved Glaucoma Diagnosis: A Clinical Pipeline Approach.

AU - Wundram, A.M.

AU - Fischer, P

AU - Wunderlich, Stephan

AU - Faber, H

AU - Koch, Lisa M.

AU - Berens, P

AU - Baumgartner, Christian F

N1 - Wunderlich: externe Aff.

PY - 2024

Y1 - 2024

M3 - Original Article

JO - Proceedings of Machine Learning Research

JF - Proceedings of Machine Learning Research

ER -