BioinformaticsbioRxivPreprint
MAYOCTransformer: Masked-Attention for Yielding Comprehensive Semantic Segmentation of Retinal Optical Coherence Tomography Images using Transformer-based Neural Networks
Run Zhou Ye, Jenna Krivit, Gregor Sebastian Reiter, Raymond Iezzi
This paper introduces MAYOCTransformer, a transformer-based model for OCT image segmentation, which outperforms CNN-based models in most tasks and shows non-inferiority to manual annotations.
DOI 10.1101/2025.07.08.663601