A Novel Hybrid Retinal Blood Vessel Segmentation Algorithm for Enlarging the Measuring Range of Dual-Wavelength Retinal Oximetry DOI Creative Commons
Yongli Xian, Guangxin Zhao, Congzheng Wang

et al.

Photonics, Journal Year: 2023, Volume and Issue: 10(7), P. 722 - 722

Published: June 24, 2023

The non-invasive measurement of hemoglobin oxygen saturation (SO2) in retinal vessels is based on spectrophotometry and the absorption spectral characteristics tissue. dual-wavelength images are simultaneously captured via oximetry. SO2 calculated by processing a series calculating optic density ratio two images. However, existing research focused thick high-clarity region thin low-clarity could provide significant information for detection diagnosis neovascular diseases. To this end, we proposed novel hybrid vessel segmentation algorithm. Firstly, median filter was employed image denoising. Secondly, high- carried out clarity histogram. areas were segmented after implementing Gaussian filter, matched morphological segmentation. Additionally, using guided filtering, dynamic threshold Finally, results obtained through merger operations. experimental analysis show that method can effectively segment extend measuring range

Language: Английский

Application of Multimodal Imaging in the Diagnosis and Treatment of Epiretinal Membrane DOI

鸿民 李

Advances in Clinical Medicine, Journal Year: 2025, Volume and Issue: 15(01), P. 676 - 683

Published: Jan. 1, 2025

Language: Английский

Citations

0
Haemorrhage diagnosis in colour fundus images using a fast-convolutional neural network based on a modified U-Net DOI

R. Sathiyaseelan,

R. Krishnamoorthy,

Ramesh Ramamoorthy

et al.

Network Computation in Neural Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22

Published: Feb. 12, 2024

Retinal haemorrhage stands as an early indicator of diabetic retinopathy, necessitating accurate detection for timely diagnosis. Addressing this need, study proposes enhanced machine-based diagnostic test retinopathy through updated UNet framework, adept at scrutinizing fundus images signs retinal haemorrhages. The customized underwent GPU training using the IDRiD database, validated against publicly available DIARETDB1 and datasets. Emphasizing complexity segmentation, employed preprocessing techniques, augmenting image quality data integrity. Subsequently, trained neural network showcased a remarkable performance boost, accurately identifying regions with 80% sensitivity, 99.6% specificity, 98.6% accuracy. experimental findings solidify network's reliability, showcasing potential to alleviate ophthalmologists' workload significantly. Notably, achieving Intersection over Union (IoU) 76.61% Dice coefficient 86.51% underscores system's competence. study's outcomes signify substantial enhancements in diagnosing critical conditions, promising profound improvements accuracy efficiency, thereby marking significant advancement automated retinopathy.

Language: Английский

Citations

2
The Role of Artificial Intelligence in Epiretinal Membrane Care: A Scoping Review DOI Creative Commons
David Mikhail, Daniel Milad, Fares Antaki

et al.

Ophthalmology Science, Journal Year: 2024, Volume and Issue: unknown, P. 100689 - 100689

Published: Dec. 1, 2024

Language: Английский

Citations

2
A Novel Hybrid Retinal Blood Vessel Segmentation Algorithm for Enlarging the Measuring Range of Dual-Wavelength Retinal Oximetry DOI Creative Commons
Yongli Xian, Guangxin Zhao, Congzheng Wang

et al.

Photonics, Journal Year: 2023, Volume and Issue: 10(7), P. 722 - 722

Published: June 24, 2023

The non-invasive measurement of hemoglobin oxygen saturation (SO2) in retinal vessels is based on spectrophotometry and the absorption spectral characteristics tissue. dual-wavelength images are simultaneously captured via oximetry. SO2 calculated by processing a series calculating optic density ratio two images. However, existing research focused thick high-clarity region thin low-clarity could provide significant information for detection diagnosis neovascular diseases. To this end, we proposed novel hybrid vessel segmentation algorithm. Firstly, median filter was employed image denoising. Secondly, high- carried out clarity histogram. areas were segmented after implementing Gaussian filter, matched morphological segmentation. Additionally, using guided filtering, dynamic threshold Finally, results obtained through merger operations. experimental analysis show that method can effectively segment extend measuring range

Language: Английский

Citations

3