AIMC Topic: Tomography, Optical Coherence

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Selecting measures of visual function to classify diabetic retinopathy status: a cross-sectional study.

BMJ open ophthalmology
AIM: To identify combinations of up to three visual function tests with the best performance for classifying diabetic retinopathy (DR) severity stage. To describe in detail the measurements from a comprehensive set of visual function tests. METHODS: ...

AI-MK: artificial intelligence for assessing and monitoring microbial keratitis.

BMJ open ophthalmology
BACKGROUND/AIMS: To evaluate the performance of an artificial intelligence (AI) model for detecting and monitoring microbial keratitis (MK) using anterior segment optical coherence tomography (AS-OCT).

Comparative analysis of retinal and cerebral vascular responses to CO₂ using Doppler optical coherence tomography and transcranial Doppler ultrasound.

Physics in medicine and biology
Access to blood flow data in cerebral and retinal vascular beds is crucial for diagnosing cerebrovascular diseases. This study addresses two technological gaps: (1) simultaneous recording of vascular responses in the brain and eye by integrating tran...

Learning feature dependencies for precise tumor region detection and segmentation in optical coherence tomography images.

International ophthalmology
PURPOSE: Accurate segmentation of tumor-infected regions in retinal Optical Coherence Tomography (OCT) images is critical for early diagnosis and clinical decision-making. However, conventional deep learning and transformer-based models often struggl...

Deep learning-based autonomous retinal vein cannulation in ex vivo porcine eyes.

Science robotics
Retinal vein cannulation (RVC) is an emerging method for treating retinal vein occlusion (RVO). The success of this procedure depends on surgeon expertise and, recently, robotic assistance. This paper proposes an autonomous RVC workflow leveraging de...

MLGF-GAN: a multi-level local-global feature fusion GAN for OCT image super-resolution.

Biomedical physics & engineering express
Optical coherence tomography (OCT), a non-invasive imaging modality, holds significant clinical value in cardiology and ophthalmology. However, its imaging quality is often constrained by inherently limited resolution, thereby affecting diagnostic ut...

DDU-Net: learning complex vascular topologies with KAN-Swin transformers and double dynamic upsampler.

Biomedical physics & engineering express
To segment complex vascular topologies in Optical Coherence Tomography Angiography (OCTA), we introduce DDU-Net. This work addresses the theoretical limitations of standard Swin Transformers, whose internal Multi-Layer Perceptron (MLP) blocks use fix...

Evaluation of deep learning-based retinal pigment epithelium segmentation for a widely used optical coherence tomography device.

Scientific reports
To develop our proposed technology method to improve retinal pigment epithelium (RPE) detection in optical coherence tomography (OCT) images and compare its efficacy with Topcon's automated segmentation algorithm across multiple retinal diseases and ...

Detection and Management of Geographic Atrophy Secondary to Age-Related Macular Degeneration Using Noninvasive Retinal Images and Artificial Intelligence: Systematic Review.

Journal of medical Internet research
BACKGROUND: Geographic atrophy (GA), the endpoint of dry age-related macular degeneration (AMD), is irreversible. The recent approval by the Food and Drug Administration of a complement component 3 inhibitor marks a significant breakthrough, highligh...

Super-resolution reconstruction of OCT images based on frequency and spatial information in adversarial neural networks.

Physics in medicine and biology
Optical coherence tomography (OCT) has a wide range of applications in the diagnosis and treatment of diseases such as heart and ophthalmic diseases. However, the inherent limitations of imaging hardware, low spatial sampling rates, and noise severel...