Artificial intelligence in ophthalmology: The path to the real-world clinic

Z Li, L Wang, X Wu, J Jiang, W Qiang, H Xie… - Cell Reports …, 2023 - cell.com
Artificial intelligence (AI) has great potential to transform healthcare by enhancing the
workflow and productivity of clinicians, enabling existing staff to serve more patients …

TSSK-Net: Weakly supervised biomarker localization and segmentation with image-level annotation in retinal OCT images

X Liu, Q Liu, Y Zhang, M Wang, J Tang - Computers in Biology and …, 2023 - Elsevier
The localization and segmentation of biomarkers in OCT images are critical steps in retina-
related disease diagnosis. Although fully supervised deep learning models can segment …

Multi-scale pathological fluid segmentation in OCT with a novel curvature loss in convolutional neural network

G Xing, L Chen, H Wang, J Zhang… - … on Medical Imaging, 2022 - ieeexplore.ieee.org
The segmentation of pathological fluid lesions in optical coherence tomography (OCT),
including intraretinal fluid, subretinal fluid, and pigment epithelial detachment, is of great …

Unravelling the complexity of Optical Coherence Tomography image segmentation using machine and deep learning techniques: A review

M Nawaz, A Uvaliyev, K Bibi, H Wei, SMD Abaxi… - … Medical Imaging and …, 2023 - Elsevier
Abstract Optical Coherence Tomography (OCT) is an emerging technology that provides
three-dimensional images of the microanatomy of biological tissue in-vivo and at micrometer …

Segmentation and visualization of Retinal Detachment lesions through Retinal fundus images

S Yadav, S Mandal, R Murugan, T Goel… - … Signal Processing and …, 2024 - Elsevier
Medical image segmentation is a prominent task in medical image processing and a
fundamental aspect of medical image analysis. However, accurate segmentation is …

Development and validation of a routine blood parameters-based model for screening the occurrence of retinal detachment in high myopia in the context of PPPM

S Li, M Li, J Wu, Y Li, J Han, W Cao, X Zhou - EPMA Journal, 2023 - Springer
Background/aims Timely detection and treatment of retinal detachment (RD) could
effectively save vision and reduce the risk of progressing visual field defects. High myopia …

OCTAve: 2D En Face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning With Locality Augmentation

A Chinkamol, V Kanjaras, P Sawangjai… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Objective: While the microvasculature annotation within Optical Coherence Tomography
Angiography (OCTA) can be leveraged using deep-learning techniques, expensive …

Anomaly-guided weakly supervised lesion segmentation on retinal OCT images

J Yang, N Mehta, G Demirci, X Hu… - Medical Image …, 2024 - Elsevier
The availability of big data can transform the studies in biomedical research to generate
greater scientific insights if expert labeling is available to facilitate supervised learning …

[HTML][HTML] Developing and validating a clinlabomics-based machine-learning model for early detection of retinal detachment in patients with high myopia

S Li, M Li, J Wu, Y Li, J Han, Y Song, W Cao… - Journal of Translational …, 2024 - Springer
Background Retinal detachment (RD) is a vision-threatening disorder of significant severity.
Individuals with high myopia (HM) face a 2 to 6 times higher risk of developing RD …

Efficient retinal detachment classification using hybrid machine learning with levy flight-based optimization

E Anitha, J Aravindhar - Expert Systems with Applications, 2024 - Elsevier
Decreased vision acuity and blindness due to retinal detachment (RD) are significant
concerns, emphasizing the importance of early diagnosis and identification. However …