Retinal fundus image analysis for diagnosis of glaucoma: a comprehensive survey
The rapid development of digital imaging and computer vision has increased the potential of
using the image processing technologies in ophthalmology. Image processing systems are …
using the image processing technologies in ophthalmology. Image processing systems are …
[图书][B] Data-driven science and engineering: Machine learning, dynamical systems, and control
SL Brunton, JN Kutz - 2022 - books.google.com
Data-driven discovery is revolutionizing how we model, predict, and control complex
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
systems. Now with Python and MATLAB®, this textbook trains mathematical scientists and …
Automated diagnosis of glaucoma using texture and higher order spectra features
UR Acharya, S Dua, X Du… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
Glaucoma is the second leading cause of blindness worldwide. It is a disease in which fluid
pressure in the eye increases continuously, damaging the optic nerve and causing vision …
pressure in the eye increases continuously, damaging the optic nerve and causing vision …
Data mining technique for automated diagnosis of glaucoma using higher order spectra and wavelet energy features
Eye images provide an insight into important parts of the visual system, and also indicate the
health of the entire human body. Glaucoma is one of the most common causes of blindness …
health of the entire human body. Glaucoma is one of the most common causes of blindness …
A literature review: various learning techniques and its applications for eye disease identification using retinal images
V Rajyaguru, C Vithalani, R Thanki - International Journal of Information …, 2022 - Springer
In the recent world, artificial intelligence (AI) based learning models are widely used in
various applications for medical image analysis. These models based on machine learning …
various applications for medical image analysis. These models based on machine learning …
Automated glaucoma detection using hybrid feature extraction in retinal fundus images
MMR Krishnan, O Faust - Journal of Mechanics in Medicine and …, 2013 - World Scientific
Glaucoma is one of the most common causes of blindness. Robust mass screening may
help to extend the symptom-free life for affected patients. To realize mass screening requires …
help to extend the symptom-free life for affected patients. To realize mass screening requires …
Automated anterior segment OCT image analysis for angle closure glaucoma mechanisms classification
Background and objectives Angle closure glaucoma (ACG) is an eye disease prevalent
throughout the world. ACG is caused by four major mechanisms: exaggerated lens vault …
throughout the world. ACG is caused by four major mechanisms: exaggerated lens vault …
Learning ECOC code matrix for multiclass classification with application to glaucoma diagnosis
Classification of different mechanisms of angle closure glaucoma (ACG) is important for
medical diagnosis. Error-correcting output code (ECOC) is an effective approach for …
medical diagnosis. Error-correcting output code (ECOC) is an effective approach for …
[HTML][HTML] Clinical evaluation of the proper orthogonal decomposition framework for detecting glaucomatous changes in human subjects
Purpose.: To evaluate the new proper orthogonal decomposition (POD) framework for
detecting glaucomatous progression from HRT topographies of human subjects and …
detecting glaucomatous progression from HRT topographies of human subjects and …
Role of imaging in glaucoma diagnosis and follow-up
The purpose of the review is to provide an update on the role of imaging devices in the
diagnosis and follow-up of glaucoma with an emphasis on techniques for detecting …
diagnosis and follow-up of glaucoma with an emphasis on techniques for detecting …