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- research-articleSeptember 2024
Comparison of self-supervised learning methods for optical coherence tomography image classification
ICMHI '24: Proceedings of the 2024 8th International Conference on Medical and Health InformaticsPages 41–46https://doi.org/10.1145/3673971.3673989Self-supervised learning enables deep learning algorithms to achieve high performance even with limited labeled data. Numerous self-supervised learning methods have been proposed, and several medical artificial intelligence studies have confirmed the ...
- research-articleMarch 2024
Visual outcome of 25 Gauge vitrectomy for acute post operative infectious endophthalmitis
Technology and Health Care (TAHC), Volume 32, Issue 2Pages 1099–1110https://doi.org/10.3233/THC-230607BACKGROUND:The correlation between the change in foveal thickness measured using optical coherence tomography (OCT) following surgery for infectious endophthalmitis and preoperative and postoperative visual acuity is uncertain, and there are few ...
- research-articleMarch 2024
Systems for Recognition and Intelligent Analysis of Biomedical Images
Pattern Recognition and Image Analysis (SPPRIA), Volume 33, Issue 4Pages 1142–1167https://doi.org/10.1134/S105466182304020XAbstractThe article is devoted to the achievements of the leading scientific school of Academician V.A. Soifer in the field of biomedical image processing. The main stages of development of research in the field of analysis of medical data are given. ...
- research-articleNovember 2023
Lossy and Lossless Compression for BioFilm Optical Coherence Tomography (OCT)
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and AnalysisPages 281–288https://doi.org/10.1145/3624062.3625125Optical Coherence Tomography (OCT) is a fast and non-destructive technology for bacterial biofilm imaging. However, OCT generates approximately 100 GB per flow cell, which complicates storage and data sharing. Data reduction reduces data complications ...
- ArticleOctober 2023
Modeling Longitudinal Optical Coherence Tomography Images for Monitoring and Analysis of Glaucoma Progression
AbstractGlaucoma causes progressive visual field deterioration and is the leading cause of blindness worldwide. Glaucomatous damage is irreversible and greatly impacts quality of life. Therefore, it is critically important to detect glaucoma early and ...
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- research-articleOctober 2023
Robust Retinal Layer Segmentation Using OCT B-Scans: A Novel Approach Based on Pix2Pix Generative Adversarial Network
- Adarsh Gadari,
- Sandeep Chandra Bollepalli,
- Mohammed Nasar Ibrahim,
- Sahel Jose´-Alian,
- Jay Chhablani,
- Shan Suthaharan,
- Kiran Kumar Vupparaboina
BCB '23: Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health InformaticsArticle No.: 52, Pages 1–6https://doi.org/10.1145/3584371.3612979Various eye diseases, such as age-related macular degeneration (AMD), are caused due to the structural dysfunction of the retinal sublayers. In the current clinical practice, clinicians screen ubiquitous optical coherence tomography (OCT) scans to ...
- research-articleAugust 2023
Volumetric choroidal segmentation using 3D residual U-Net
ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial IntelligencePages 145–149https://doi.org/10.1145/3594315.3594337Estimating dimensional measurements of the choroid provides diagnostic values which can be used to assess choroidal health. In this paper we describe a methodology of calculating measurements from choroid segmentations automatically generated using ...
- research-articleMay 2023
Methods to increase the Raman spectroscopy efficiency in multimodal diagnostic systems
- Alexey Kovtunenko,
- Azat Bilyalov,
- Liaisan Bakirova,
- Nikita Topolskii,
- Grigory Voronkov,
- Elizaveta Grakhova,
- Ruslan Kutluyarov
ICFNDS '22: Proceedings of the 6th International Conference on Future Networks & Distributed SystemsPages 667–671https://doi.org/10.1145/3584202.3584303An intraoperative diagnostic is a vital tool in modern surgery, and it improves the accuracy of tumor removal and reduces the likelihood of damage to healthy tissue. The paper considers increasing the accuracy of intraoperative diagnostics through ...
- research-articleJanuary 2022
Non-destructive morphological observation of anatomical growth process in Haemaphysalis Longicornis tick specimens using optical coherence tomography
BACKGROUND:Ticks are known as the representatives of hematophagous arachnids. They cause various tick-borne diseases, such as severe fever with thrombocytopenia syndrome (SFTS) and Lyme disease. To understand the mechanism of ...
- research-articleOctober 2021
Glaucoma Assessment from Fundus Images with Fundus to OCT Feature Space Mapping
ACM Transactions on Computing for Healthcare (HEALTH), Volume 3, Issue 1Article No.: 10, Pages 1–15https://doi.org/10.1145/3470979Early detection and treatment of glaucoma is of interest as it is a chronic eye disease leading to an irreversible loss of vision. Existing automated systems rely largely on fundus images for assessment of glaucoma due to their fast acquisition and cost-...
- research-articleJuly 2021
Development of High-Performance Algorithms for the Segmentation of Fundus Images Using a Graphics Processing Unit
Pattern Recognition and Image Analysis (SPPRIA), Volume 31, Issue 3Pages 529–538https://doi.org/10.1134/S1054661821030135AbstractDiabetic retinopathy is one of the dangerous fundus diseases that leads to irreversible loss of vision. In the case of untimely or incorrect treatment, blindness occurs. Currently, laser coagulation is a common treatment method. An ophthalmologist ...
- research-articleJanuary 2021
A novel deep learning technique for analysis and detection of ARMD using OCT scan images
International Journal of Knowledge-based and Intelligent Engineering Systems (KIES), Volume 25, Issue 3Pages 335–342https://doi.org/10.3233/KES-210076Age-Related Macular Degeneration (ARMD) is a medical situation resulting in blurred or no vision in the middle of the eye view. Though this disease doesn’t make the person completely blind, it makes it very difficult for the person to perform day ...
- research-articleOctober 2020
Deformable Deep Network Atherosclerotic Coronary Plaque Recognition of Oct Imaging
ICMHI '20: Proceedings of the 4th International Conference on Medical and Health InformaticsPages 235–240https://doi.org/10.1145/3418094.3418107Cardiovascular disease results great life and economics threat to the patients and their family members around the world. Optical coherence tomography (OCT) image not only obtains higher resolution and faster image modality to assess coronary vessels, ...
- research-articleApril 2020
BMM-Net: automatic segmentation of edema in optical coherence tomography based on boundary detection and multi-scale network
CHIL '20: Proceedings of the ACM Conference on Health, Inference, and LearningPages 51–59https://doi.org/10.1145/3368555.3384447Retinal effusions and cysts caused by the leakage of damaged macular vessels and choroid neovascularization are symptoms of many ophthalmic diseases. Optical coherence tomography (OCT), which provides clear 10-layer cross-sectional images of the retina, ...
- research-articleJanuary 2019
Retinal vascular analysis in a fully automated method for the segmentation of DRT edemas using OCT images
Procedia Computer Science (PROCS), Volume 159, Issue CPages 600–609https://doi.org/10.1016/j.procs.2019.09.215AbstractOptical Coherence Tomography (OCT) is a well-established medical imaging technique that allows a complete analysis and evaluation of the main retinal structures and their histopathology properties. Diabetic Macular Edema (DME) implies the ...
- research-articleJanuary 2018
Automatic Segmentation of Diffuse Retinal Thickening Edemas Using Optical Coherence Tomography Images
Procedia Computer Science (PROCS), Volume 126, Issue CPages 472–481https://doi.org/10.1016/j.procs.2018.07.281AbstractDiabetic retinopathy is one of the leading causes of vision impairment that is commonly associated to the Macular Edema (ME) disease. The Diffuse Retinal Thickening (DRT) is a ME type derived from the local intraretinal fluid accumulation in the ...
- research-articleJanuary 2018
Automatic Characterization of the Serous Retinal Detachment Associated with the Subretinal Fluid Presence in Optical Coherence Tomography Images
Procedia Computer Science (PROCS), Volume 126, Issue CPages 244–253https://doi.org/10.1016/j.procs.2018.07.258AbstractAn accurate detection of the macular edema (ME) presence constitutes a crucial ophthalmological issue as it provides useful information for the identification, diagnosis and treatment of different relevant ocular and systemic diseases. Serous ...
- articleDecember 2015
Comparison of evaluation parameters in the retinal layer between diabetic cystoid macular edema and postoperative cystoid macular edema after cataract surgery based on a hierarchical approach
Technology and Health Care (TAHC), Volume 24, Issue s1Pages S59–S68https://doi.org/10.3233/THC-151052In this study, several variables related to the thickness of the retinal layer were measured via optical coherence tomography (OCT), and the clinical applicability of such measurements was evaluated to differentiate between diabetic cystoid macular edema (...
- ArticleSeptember 2015
Introducing Augmented Reality to Optical Coherence Tomography in Ophthalmic Microsurgery
ISMAR '15: Proceedings of the 2015 IEEE International Symposium on Mixed and Augmented RealityPages 1–6https://doi.org/10.1109/ISMAR.2015.15Augmented Reality (AR) in microscopic surgery has been subject of several studies in the past two decades. Nevertheless, AR has not found its way into everyday microsurgical workflows. The introduction of new surgical microscopes equipped with Optical ...
- ArticleNovember 2014
Simultaneous Spectroscopic and Elastographic Measurement by Multifunctional Optical Coherence Tomography
ISOT '14: Proceedings of the 2014 International Symposium on Optomechatronic TechnologiesPages 253–255https://doi.org/10.1109/ISOT.2014.68Optical coherence tomography (OCT) is a non-invasive and non-contact technique to measure cross-sectional structural images of samples at micrometer resolution. Functional extensions of OCT has been developed to enhance contrast based on physical ...