Measurement method of tear meniscus height based on deep learning
C Wan, R Hua, P Guo, P Lin, J Wang, W Yang… - Frontiers in …, 2023 - frontiersin.org
Tear meniscus height (TMH) is an important reference parameter in the diagnosis of dry eye
disease. However, most traditional methods of measuring TMH are manual or semi …
disease. However, most traditional methods of measuring TMH are manual or semi …
Prediction of spherical equivalent refraction and axial length in children based on machine learning
S Zhu, H Zhan, Z Yan, M Wu, B Zheng… - Indian Journal of …, 2023 - journals.lww.com
Purpose: Recently, the proportion of patients with high myopia has shown a continuous
growing trend, more toward the younger age groups. This study aimed to predict the …
growing trend, more toward the younger age groups. This study aimed to predict the …
[HTML][HTML] Artificial intelligence-aided diagnosis and treatment in the field of optometry
HQ Du, Q Dai, ZH Zhang, CC Wang, J Zhai… - International Journal …, 2023 - ncbi.nlm.nih.gov
With the rapid development of computer technology, the application of artificial intelligence
(AI) to ophthalmology has gained prominence in modern medicine. As modern optometry is …
(AI) to ophthalmology has gained prominence in modern medicine. As modern optometry is …
Automated diagnosis of Alzheimer's Disease using OCT and OCTA: A systematic review
Retinal optical coherence tomography (OCT) and optical coherence tomography
angiography (OCTA) have emerged as promising, non-invasive, and cost-effective …
angiography (OCTA) have emerged as promising, non-invasive, and cost-effective …
A robust segmentation of retinal fluids from OCT images using MCFAR-net
This paper presents a novel architecture to detect Macular Edema (ME) in Optical
Coherence Tomography (OCT) images that occurs due to high fluid accumulation between …
Coherence Tomography (OCT) images that occurs due to high fluid accumulation between …
A Bibliographic Study of Macular Fovea Detection: AI-Based Methods, Applications, and Issues
This study utilized a method of bibliographic analysis and text mining on the literature from
databases of Web of Science (WOS) and Scopus. About 79 and 632 related articles are …
databases of Web of Science (WOS) and Scopus. About 79 and 632 related articles are …
Small data-driven semantic segmentation of wear debris in ferrography images
Y Xi, N Zhang, B Li - Measurement Science and Technology, 2024 - iopscience.iop.org
The segmentation of wear debris images is a prerequisite for ferrographic analysis, and
uncertainties and errors in wear debris segmentation will inevitably affect the subsequent …
uncertainties and errors in wear debris segmentation will inevitably affect the subsequent …
[HTML][HTML] Bibliometric analysis of artificial intelligence and optical coherence tomography images: research hotspots and frontiers
HW Feng, JJ Chen, ZC Zhang, SC Zhang… - International Journal of …, 2023 - ncbi.nlm.nih.gov
AIM To explore the latest application of artificial intelligence (AI) in optical coherence
tomography (OCT) images, and to analyze the current research status of AI in OCT, and …
tomography (OCT) images, and to analyze the current research status of AI in OCT, and …
[HTML][HTML] Automatic fovea detection and choroid segmentation for choroidal thickness assessment in optical coherence tomography
CY Lin, HJ Chen, YK Chan, WP Hsia… - International …, 2024 - pmc.ncbi.nlm.nih.gov
AIM To develop an automated model for subfoveal choroidal thickness (SFCT) detection in
optical coherence tomography (OCT) images, addressing manual fovea location and …
optical coherence tomography (OCT) images, addressing manual fovea location and …
A robust segmentation of retinal fluids from OCT images using MCFAR-net
P Geetha Pavani, B Biswal, SR Kandula, PK Biswal… - 2024 - dl.acm.org
This paper presents a novel architecture to detect Macular Edema (ME) in Optical
Coherence Tomography (OCT) images that occurs due to high fluid accumulation between …
Coherence Tomography (OCT) images that occurs due to high fluid accumulation between …