Jun 9, 2020 · Clinically, the ophthalmologists examine each cross-sectional image (B- scan) of the 3D OCT volume to diagnose the retinal pathologies. However, ...
Jun 30, 2020 · Clinically, the oph- thalmologists examine each cross-sectional image (B- scan) of the. 3D OCT volume to diagnose the retinal pathologies.
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Automated methods in literature classify the individual B-scans and aggregate the diagnosis decision for the OCT volume using manual threshold-based rules.
B-Scan Attentive CNN for the Classification of Retinal Optical Coherence Tomography Volumes · Medicine, Computer Science. IEEE Signal Processing Letters · 2020.
Nov 9, 2023 · B-scan attentive CNN for the classification of retinal optical coherence tomography volumes. IEEE Signal Process. Lett. 2020;27:1025–1029 ...
Dec 19, 2023 · B-scan attentive CNN for the classification of retinal optical coherence tomography volumes. IEEE Signal Process. Lett. 2020;27:1025–1029 ...
Convolutional neural network (CNN) architectures have shown promising results in classifying retinal pathologies using OCT images. Table 2 summarizes the ...
Jul 13, 2021 · B-Scan · attentive CNN for the classification of retinal optical coherence · tomography volumes. IEEE Signal Process Lett. 2020;27: · 1025e1029 ...
May 2, 2024 · In this letter, we propose a multi-level dual-attention model to classify two common macular diseases, age-related macular degeneration ...
Oct 29, 2024 · This technique allows the PEs to generalize across neighboring slices, facilitating the handling of high-resolution volumes at the test time.