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Deep learning for retinal vessel segmentation: a systematic review of techniques and applications
Ophthalmic diseases are a leading cause of vision loss, with retinal damage being
irreversible. Retinal blood vessels are vital for diagnosing eye conditions, as even subtle …
irreversible. Retinal blood vessels are vital for diagnosing eye conditions, as even subtle …
Masked Image Modelling for retinal OCT understanding
T Pissas, P Márquez-Neila, S Wolf… - … on Ophthalmic Medical …, 2024 - Springer
This work explores the effectiveness of masked image modelling for learning
representations of retinal OCT images. To this end, we leverage Masked Autoencoders …
representations of retinal OCT images. To this end, we leverage Masked Autoencoders …
Multi-task OCTA image segmentation with innovative dimension compression
Abstract Optical Coherence Tomography Angiography (OCTA) plays a crucial role in the
early detection and continuous monitoring of ocular diseases, which relies on accurate multi …
early detection and continuous monitoring of ocular diseases, which relies on accurate multi …
A Dual-Branch Network for Accurate Retinal Vessel Segmentation Combining Cross-Domain Features
Y Zhang, J Zhong, Q Lei - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Accurate segmentation of retinal blood vessels is crucial for diagnosing and treating various
ophthalmic conditions. Although existing deep learning methods have shown promising …
ophthalmic conditions. Although existing deep learning methods have shown promising …