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MAYOCTransformer: Masked-Attention for Yielding Comprehensive Semantic Segmentation of Retinal Optical Coherence Tomography Images using Transformer-based Neural Networks

2025-07-11

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Purpose</h4> Optical coherence tomography (OCT) is a widely used imaging modality in ophthalmology. Accurate semantic segmentation of these images is critical for both clinical and research applications, yet existing convolutional neural network (CNN)-based methods face challenges in generalizability and robustness. This study introduces MAYOCTransformer, the first transformer-based deep le...

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Literature Corpus work: 04a71813-8f26-57d4-af51-255fb96d8799
DOI: 10.1101/2025.07.08.663601

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