We present self-supervised iterative refinement learning (SIRL) as a pipeline to improve a type of macular optical coherence tomography (OCT) volumetric ...

We present self-supervised iterative refinement learning (SIRL) as a pipeline to improve a type of macular optical coherence tomography (OCT) volumetric image ...

We present self-supervised iterative refinement learning (SIRL) as a pipeline to improve a type of macular optical coherence tomography (OCT) volumetric image ...

Sep 9, 2024 · Self-supervised learning enables deep learning algorithms to achieve high performance even with limited labeled data.

Jan 22, 2024 · Our research contributes a self-supervised robust machine learning framework, OCT-SelfNet, for detecting eye diseases using optical coherence tomography (OCT) ...

Additionally, RETFound uses self-supervised learning, which decreases the demand for experts to undergo the effortful and time-consuming process of labeling ...

We present self-supervised iterative refinement learning (SIRL) as a pipeline to improve a type of macular optical coherence tomography (OCT) volumetric image ...

Self-supervised iterative refinement learning for macular OCT volumetric data classification · Jiaming QiuYankui Sun. Medicine, Engineering. Comput. Biol ...

Jan 22, 2022 · We propose an attention-based deep convolutional neural network (CNN) model as an assistive computer-aided tool to classify common types of macular diseases.

Jul 18, 2024 · Self-supervised iterative refinement learning for macular OCT volumetric data classification. Jiaming Qiu, Yankui Sun. 2019, Comput. Biol ...