Automated segmentation of blood vasculature from retinal images

2016 2nd International Conference on Communication Control and Intelligent Systems (CCIS) ◽

10.1109/ccintels.2016.7878205 ◽

2016 ◽

Author(s):

Varun Gupta ◽

Namita Sengar ◽

Malay Kishore Dutta

Keyword(s):

Retinal Images ◽

Automated Segmentation

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Automated Segmentation and Classification of RNFL Layer from SDOCT Retinal Images

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2018.5005 ◽

2018 ◽

Vol 6 (5) ◽

pp. 23-32

Author(s):

ِAya Ebrahim

Keyword(s):

Retinal Images ◽

Automated Segmentation

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Fully-automated segmentation of optic disk from retinal images using deep learning techniques

Medical Imaging 2019: Computer-Aided Diagnosis ◽

10.1117/12.2512239 ◽

2019 ◽

Author(s):

Fatemeh Zabihollahy ◽

Eranga Ukwatta

Keyword(s):

Deep Learning ◽

Retinal Images ◽

Automated Segmentation ◽

Learning Techniques

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An Automated Segmentation Approach from Colored Retinal Images for Feature Extraction

Advances in Intelligent Systems and Computing - Emerging Technology in Modelling and Graphics ◽

10.1007/978-981-13-7403-6_2 ◽

2019 ◽

pp. 9-19

Author(s):

Suchismita Goswami ◽

Sushmita Goswami ◽

Shubhasri Roy ◽

Shreejita Mukherjee ◽

Nilanjana Dutta Roy

Keyword(s):

Feature Extraction ◽

Retinal Images ◽

Automated Segmentation ◽

Segmentation Approach

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Research relative to safety formulations for retinal damage from extended sources and large retinal images

International Laser Safety Conference ◽

10.2351/1.5056037 ◽

1990 ◽

Author(s):

D. Courant ◽

L. Court ◽

D. Sliney

Keyword(s):

Retinal Images ◽

Retinal Damage ◽

Extended Sources

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Automated Segmentation of the Lateral Ventricles from MRI Image

Vestnik NSU Series Information Technologies ◽

10.25205/1818-7900-2017-15-4-22-31 ◽

2017 ◽

Vol 15 (4) ◽

pp. 22-31

Author(s):

E. A. Zuenko ◽

◽

A. A. Shulunova ◽

Keyword(s):

Automated Segmentation ◽

Lateral Ventricles ◽

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Analysis of Diabetic Retinopathy Based on Texture Properties of Retinal Images

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i5.516522 ◽

2018 ◽

Vol 6 (5) ◽

pp. 516-522

Author(s):

Abhinandan Kalita ◽

Keyword(s):

Diabetic Retinopathy ◽

Retinal Images ◽

Texture Properties

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Feature Segmentation of Blood Vessels using Active Contour with Hybrid Region Information with Application to Retinal Images

i-manager’s Journal on Image Processing ◽

10.26634/jip.3.1.5935 ◽

2016 ◽

Vol 3 (1) ◽

pp. 37

Author(s):

SAHITHI SURI ◽

PRASAD G. GURU ◽

◽

Keyword(s):

Blood Vessels ◽

Active Contour ◽

Retinal Images ◽

Hybrid Region ◽

Feature Segmentation ◽

Region Information

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A Comparative Study of Different Automated Segmentation Techniques for Brain Tumor

SINDH UNIVERSITY RESEARCH JOURNAL -SCIENCE SERIES ◽

10.26692/surj/2017.09.03 ◽

2017 ◽

Vol 49 (003) ◽

pp. 479--486

Author(s):

A. NOREEN ◽

N. MINALLAH, ◽

M. ASHFAQ

Keyword(s):

Brain Tumor ◽

Comparative Study ◽

Automated Segmentation

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Morphology of NFA Organic Photovoltaic Blends by Automated Segmentation of Spatially Resolved Electron Spectra

10.29363/nanoge.ngfm.2019.167 ◽

2019 ◽

Author(s):

Jochen Kammerer ◽

Rasum R. Schröder ◽

Pavlo Perkhun ◽

Olivier Margeat ◽

Wolfgang Köntges ◽

...

Keyword(s):

Organic Photovoltaic ◽

Automated Segmentation ◽

Electron Spectra ◽

Spatially Resolved

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Visualizing the surface morphology of non-fullerene acceptor blends by automated segmentation of spatially resolved electron spectra from ultra-low voltage scanning electron microscopy

10.29363/nanoge.hopv.2019.107 ◽

2019 ◽

Author(s):

Martin Pfannmöller ◽

Jochen Kammerer ◽

Rasmus Schröder ◽

Irene Wacker ◽

Riva Alkarsifi ◽

...

Keyword(s):

Electron Microscopy ◽

Scanning Electron Microscopy ◽

Surface Morphology ◽

Low Voltage ◽

Automated Segmentation ◽

Electron Spectra ◽

Spatially Resolved ◽

Voltage Scanning ◽

Scanning Electron

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