The paper proposes a novel Structure-Oriented Transformer (SoT) framework to further construct the relationship between lesions and retina on clinical datasets.
The paper proposes a novel Structure-Oriented Transformer (SoT) framework to further construct the relationship between lesions and retina on clinical datasets.
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Mar 3, 2023 · In this paper, we propose an interpretable Swin-Poly Transformer network for performing automatically retinal OCT image classification.
Missing: Oriented grading
Jul 20, 2022 · The Transformer architecture has great potential in biomedical disease diagnosis, but its feasibility for OCT image classification remains ...
Sep 5, 2023 · The development of DL models that can accurately and automatically detect abnormal retinal signs from OCT images has significant implications ...
Model-Based Transformer for retinal optical coherence tomography ...
www.researchgate.net › ... › OCT
Methods: This paper presents an effective technique named model-based transformer (MBT). It is based on popular pre-trained transformer models, particularly, ...
A multi-class classification layer in the vision transformer model was used to group the OCT images into the normal and three abnormal type, Choroidal ...
Missing: Oriented | Show results with:Oriented
Jun 7, 2023 · Shen et al. [35] presented a structure-oriented transformer (SOT) model for grading retinal diseases from OCT images. Their model used a ...
May 27, 2024 · Transformer based models classifies the four retinal diseases more accurately using the OCT image dataset,. Table 4 Performance comparison in ...
Missing: Oriented grading