Query-Driven Retinal Layer Segmentation in OCT Using Cross-Attentive Feature Learning

<b>Background/Objectives</b>: Retinal layer segmentation in optical coherence tomography (OCT) is essential for the diagnosis and monitoring of retinal diseases such as age-related macular degeneration (AMD) and diabetic macular edema (DME). Although deep learning methods have achieved strong perfor...

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Hlavní autoři:	Nebras Sobahi, Salih Taha Alperen Özçelik, Orhan Atila, Abdulkadir Sengur, Muhammed Halil Akpınar
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2026-05-01
Edice:	Diagnostics
Témata:	OCT retinal layer segmentation transformer query-based learning cross-attention medical image segmentation
On-line přístup:	https://www.mdpi.com/2075-4418/16/11/1697
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