AIMC Topic: Tomography, Optical Coherence
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HTC-retina: A hybrid retinal diseases classification model using transformer-Convolutional Neural Network from optical coherence tomography images.
Computers in biology and medicine
Jun 9, 2024
Retinal diseases are among nowadays major public health issues, deservedly needing advanced computer-aided diagnosis. We propose a hybrid model for multi label classification, whereby seven retinal diseases are automatically classified from Optical C...
Stitched vision transformer for age-related macular degeneration detection using retinal optical coherence tomography images.
PloS one
Jun 5, 2024
Age-related macular degeneration (AMD) is an eye disease that leads to the deterioration of the central vision area of the eye and can gradually result in vision loss in elderly individuals. Early identification of this disease can significantly impa...
Artificial intelligence in therapeutic management of hyperlipidemic ocular pathology.
Experimental eye research
Jun 3, 2024
Hyperlipidemia has many ocular manifestations, the most prevalent being retinal vascular occlusion. Hyperlipidemic lesions and occlusions to the vessels supplying the retina result in permanent blindness, necessitating prompt detection and treatment....
Toward Ground-Truth Optical Coherence Tomography via Three-Dimensional Unsupervised Deep Learning Processing and Data.
IEEE transactions on medical imaging
Jun 3, 2024
Optical coherence tomography (OCT) can perform non-invasive high-resolution three-dimensional (3D) imaging and has been widely used in biomedical fields, while it is inevitably affected by coherence speckle noise which degrades OCT imaging performanc...
Enhancement of OCTimages by unsupervised deep learning.
Physics in medicine and biology
May 30, 2024
. The quality of optical coherence tomography (OCT)images is crucial for clinical visualization of early disease. As a three dimensional and coherent imaging, defocus and speckle noise are inevitable, which seriously affect evaluation of microstructu...
Prediction of vitreomacular traction syndrome outcomes with deep learning: A pilot study.
European journal of ophthalmology
May 29, 2024
PURPOSE: To investigate the potential of an Optical Coherence Tomography (OCT) based Deep-Learning (DL) model in the prediction of Vitreomacular Traction (VMT) syndrome outcomes.
Artificial intelligence in retinal screening using OCT images: A review of the last decade (2013-2023).
Computer methods and programs in biomedicine
May 28, 2024
BACKGROUND AND OBJECTIVES: Optical coherence tomography (OCT) has ushered in a transformative era in the domain of ophthalmology, offering non-invasive imaging with high resolution for ocular disease detection. OCT, which is frequently used in diagno...
Assessing the efficacy of 2D and 3D CNN algorithms in OCT-based glaucoma detection.
Scientific reports
May 23, 2024
Glaucoma is a progressive neurodegenerative disease characterized by the gradual degeneration of retinal ganglion cells, leading to irreversible blindness worldwide. Therefore, timely and accurate diagnosis of glaucoma is crucial, enabling early inte...
Evaluation of choroid vascular layer thickness in wet age-related macular degeneration using artificial intelligence.
Photodiagnosis and photodynamic therapy
May 21, 2024
PURPOSE: To facilitate the assessment of choroid vascular layer thickness in patients with wet age-related macular degeneration (AMD) using artificial intelligence (AI).
Segmentation and quantitative analysis of optical coherence tomography (OCT) images of laser burned skin based on deep learning.
Biomedical physics & engineering express
May 21, 2024
Evaluation of skin recovery is an important step in the treatment of burns. However, conventional methods only observe the surface of the skin and cannot quantify the injury volume. Optical coherence tomography (OCT) is a non-invasive, non-contact, r...
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