Automated quantification of parafoveal microvascular complexity using deep learning-based OCTA segmentation and foveal avascular zone detection.

Multitask learning approach for foveal avascular zone segmentation in OCTA images

Identification and localization of myopic macular neovascularization using deep learning.

PURPOSE Myopia is rapidly increasing worldwide, with macular neovascularization (MNV) representing a major cause of vision loss. Early diagnosis remains challenging. Our study aims to incorporate a deep learning (DL) model to identify and localize myopic MNV using OCT images. METHODS A total of 6,215 OCT B-scan image...

Annotated dataset for retinal fundus image segmentation: vascular arcade and optic nerve head

This dataset was generated from a subset of images from the public Asia Pacific Tele-Ophthalmology Society 2019 Blindness Detection dataset, these were manually annotated to generate segmentation masks of anatomical fundus structures, specifically the vascular arcade and the optic nerve head.

Deformable Models-Based Retinal OCT Layer Segmentation and Classification with Feature Analysis

It is demonstrated that anatomically guided feature extraction can provide accurate, efficient, and interpretable OCT disease classification, offering a practical alternative to less transparent end-to-end deep learning approaches.

Retinal Vessel Segmentation via Morphological Refinement and Adaptive Late Fusion

Although segmentation performance remains limited for complex pathological images, particularly in the HRF dataset, the proposed framework demonstrates consistent cross-dataset performance, transparent decision-making, and strong reproducibility, providing an effective alternative when interpretable, training-free reti...

Deep Learning-based Automated Vessel Extraction for VR Image Creation From Cerebral TOF-MRA.

RATIONALE AND OBJECTIVES Accurate and efficient three-dimensional visualization of cerebral vasculature is essential for clinical evaluation; however, manual vessel extraction from time-of-flight (TOF) magnetic resonance angiography angiography (MRA) is time-consuming and operator-dependent. This study aimed to develop...