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Henan Tongwei Medical Equipment Co., LtdCall us : +86 − −19139704654 // Email us : [email protected]
Vision and Image Processing Lab A cellular automata based semi-automatic algorithm for segmentation of choroidal blood vessels from ultrahigh resolution optical coherence images of rat retina Title: A cellular automata based semi-automatic algorithm for segmentation of choroidal blood vessels from ultrahigh resolution optical coherence images of rat retina : Publication Type:
Temporal coherent image segmentation and its applications Song-Hai Zhang Xian-Ying Li Tao Chen Yi-Fei Zhang Shi-Min Hu Department of Computer Science and Technology Tsinghua University Beijing China Ralph Martin School of Computer Science Informatics Cardi University Wales UK Abstract We propose a trapped-ball method for image segmentation which is fast supports non
The abundance of publications in OCT layer segmentation of the retina in the last years shows a big interest in furthering this field With the advent of deep learning big improvements have been achieved in terms of performance especially in pathological cases (AMD DME etc ) replacing the state of the art of graph-based methods The latter cannot deal with highly degenerate retinal layers
Optical coherence tomography (OCT) is a non-invasive optical imaging method that has proven useful in various fields such as ophthalmology dermatology and neuroscience In ophthalmology significant progress has been made in retinal layer segmentation and enhancement of OCT images There are also segmentation algorithms to separate epidermal and dermal layers in OCT-acquired images of human
We report a generic method for automatic segmentation of endoscopic optical coherence tomography (OCT) images In this method OCT images are first processed with L 1-L 0 norm minimization based de-noising and smoothing algorithms to increase the signal-to-noise ratio (SNR) and enhance the contrast between adjacent layers The smoothed images are then formulated into cost graphs based on their
Automated Choroidal Segmentation on OCT A brief review of the techniques under investigation JAY CHHABLANI MD A dvances in optical coherence tomography have changed clinical practice over the last two decades with OCT becoming an essential part of the management of macular diseases Recently imaging of the choroid has become possible with the advent of enhanced depth imaging
Robust total retina thickness segmentation in optical coherence tomography images using convolutional neural networks FREERK G VENHUIZEN 1 2 * BRAM VANGINNEKEN 1 BART LIEFERS 1 2 MARK J J P VAN GRINSVEN 1 2 SASCHA FAUSER 3 4 CAREL HOYNG 2 THOMAS THEELEN 1 2 AND CLARA I SNCHEZ1 2 1Diagnostic Image Analysis Group Radboud University
Segmentation of Optical Coherence Tomography Images Wen Liu 1 Yankui Sun 2 3 and Qingge Ji 1 3 * 1 School of Data and Computer Science Sun Yat-sen University Guangzhou 510006 China liuw256mail2 sysu edu cn 2 Department of Computer Science and Technology Tsinghua University 30 Shuangqing Road Beijing 100084 China sykmail tsinghua edu cn 3 Guangdong Key Laboratory of
Real-time automated thickness measurement of the in vivo human tympanic membrane using optical coherence tomography Background: Otitis media (OM) an infection in the middle ear is extremely common in the pediatric population Current gold-standard methods for diagnosis include otoscopy for visualizing the surface features of the tympanic membrane (TM) and making qualitative
Automatic Real-time Background Cut for Portrait Videos Xiaoyong Shen Ruixing Wang Hengshuang Zhao Jiaya Jia The Chinese University of Hong Kong fxyshen rxwang hszhao leojiagcse cuhk edu hk Abstract We in this paper solve the problem of high-quality au-tomatic real-time background cut for 720p portrait videos We first handle the background ambiguity issue in semantic segmentation by
An optical coherence tomography system having real-time artifact and saturation correction includes an optical coherence tomography unit and a signal processing and display system adapted to communicate with the optical coherence tomography unit to receive imaging signals therefrom The optical coherence tomography system is a Fourier Domain optical coherence tomography system
Automatic Real-time Background Cut for Portrait Videos Xiaoyong Shen Ruixing Wang Hengshuang Zhao Jiaya Jia The Chinese University of Hong Kong fxyshen rxwang hszhao leojiagcse cuhk edu hk Abstract We in this paper solve the problem of high-quality au-tomatic real-time background cut for 720p portrait videos We first handle the background ambiguity issue in semantic segmentation by
Automatic Real-time Background Cut for Portrait Videos Xiaoyong Shen Ruixing Wang Hengshuang Zhao Jiaya Jia The Chinese University of Hong Kong fxyshen rxwang hszhao leojiagcse cuhk edu hk Abstract We in this paper solve the problem of high-quality au-tomatic real-time background cut for 720p portrait videos We first handle the background ambiguity issue in semantic segmentation by
Optical coherence tomography (OCT) is a non-invasive optical imaging method that has proven useful in various fields such as ophthalmology dermatology and neuroscience In ophthalmology significant progress has been made in retinal layer segmentation and enhancement of OCT images There are also segmentation algorithms to separate epidermal and dermal layers in OCT-acquired images of human
Purpose: To propose automatic segmentation algorithm (AUS) for corneal microlayers on optical coherence tomography (OCT) images Methods: Eighty-two corneal OCT scans were obtained from 45 patients with normal and abnormal corneas Three testing data sets totaling 75 OCT images were randomly selected Initially corneal epithelium and
NPOCT Lumen detection Fuzzy system MLD Intracoronary optical coherence tomography (OCT) is a catheter based medical imaging technique that provide high resolution imaging of coronary lumen structures However these images affected by catheter and stents shadows during pullback procedure In order to overcome this problem we present a new approach to detect the lumen boundary
Automatic characterization and segmentation of human skin using three-dimensional optical coherence tomography Hori Yasuaki Yasuno Yoshiaki Sakai Shingo Matsumoto Masayuki Sugawara Tomoko Madjarova Violeta Dimitrova Yamanari Masahiro Makita Shuichi Yasui Takeshi Araki Tsutomu Itoh Masahide Yatagai Toyohiko journal or publication title Optics Express volume 14
Current commercial microscope-integrated optical coherence tomography partially meets this need with manually-positioned cross-sectional images that offer qualitative estimates of depth In this work we present methods for automatic quantitative depth measurement using real-time two-surface corneal segmentation and needle tracking in OCT volumes We then demonstrate these methods for
We report a generic method for automatic segmentation of endoscopic optical coherence tomography (OCT) images In this method OCT images are first processed with L1-L0 norm minimization based de-noising and smoothing algorithms to increase the signal-to-noise ratio (SNR) and enhance the contrast between adjacent layers The smoothed images are then formulated into cost graphs based on their
11 06 2019Automatic Segmentation of Corneal Microlayers on Optical Coherence Tomography Images Elsawy A(1)(2) Abdel-Mottaleb M(2) Sayed IO(1) Wen D(1) Roongpoovapatr V(1) Eleiwa T(1)(3) Sayed AM(1)(4) Raheem M(1) Gameiro G(1) Shousha MA(1)(2)(5) Author information: (1)Bascom Palmer Eye Institute Miller School of Medicine University of Miami Miami FL USA (2)Electrical and
Current commercial microscope-integrated optical coherence tomography partially meets this need with manually-positioned cross-sectional images that offer qualitative estimates of depth In this work we present methods for automatic quantitative depth measurement using real-time two-surface corneal segmentation and needle tracking in OCT volumes We then demonstrate these methods for
Real-Time Automatic Segmentation of Optical Coherence Tomography Volume Data of the Macular Region PLoS One 2015 10(8):e0133908 (ISSN: 1932-6203) Tian J Varga B Somfai GM Lee WH Smiddy WE DeBuc DC Optical coherence tomography (OCT) is a high speed high resolution and non-invasive imaging modality that enables the capturing of the 3D structure of the retina The fast and automatic
Segmentation result of diabetic macular edema in OCT retinal images About Team Research team of associate professor Chen Minghui from Institute of Biomedical optics Optometry Shanghai Institute for Minimally Invasive Therapy University of Shanghai for Science and Technology in the past decade has been devoted to the research of medical optical coherence tomography (OCT) real-time imaging
Maribel Hidalgo-Aguirre Julian Gitelman Mark R Lesk and Santiago Costantino Automatic segmentation of the optic nerve head for deformation measurements in video rate optical coherence tomography Journal of Biomedical Optics 20(11) 116008 (24 November 2015)
Purpose: To propose automatic segmentation algorithm (AUS) for corneal microlayers on optical coherence tomography (OCT) images Methods: Eighty-two corneal OCT scans were obtained from 45 patients with normal and abnormal corneas Three testing data sets totaling 75 OCT images were randomly selected Initially corneal epithelium and
02 02 2016An optical coherence tomography system having real-time artifact and saturation correction according to some embodiments of the current invention includes an optical coherence tomography unit and a signal processing and display system adapted to communicate with the optical coherence tomography unit to receive imaging signals therefrom The optical coherence
Pseudo-real-time retinal layer segmentation for high-resolution adaptive optics optical coherence tomography Worawee Janpongsri 1 1| 1Joey Huang | Ringo Ng | Daniel J Wahl | Marinko V Sarunic | Jian * 2 3 1 Biomedical Optics Research Group School of Engineering Science Simon Fraser University Burnaby BC Canada 2 Casey Eye Institute Oregon Health Science University
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