A Two Layer Sparse Autoencoder for Glaucoma Identification with Fundus Images

Glaucoma is a type of eye condition which may result in partial or consummate vision loss. Higher intraocular pressure is the leading cause for this condition. Screening for glaucoma and early detection can avert vision loss. Computer aided diagnosis (CAD) is an automated process with the potential...

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Veröffentlicht in:	Journal of medical systems Jg. 43; H. 9; S. 299 - 9
Hauptverfasser:	Raghavendra, U., Gudigar, Anjan, Bhandary, Sulatha V., Rao, Tejaswi N., Ciaccio, Edward J., Acharya, U. Rajendra
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.09.2019 Springer Nature B.V
Schlagworte:	Adult Algorithms Case-Control Studies Diagnostic Techniques, Ophthalmological Digital imaging Female Fundus Oculi Glaucoma Health Informatics Health Informatics and Computer Vision Health Sciences Humans Image & Signal Processing Image Interpretation, Computer-Assisted - methods Intraocular pressure Learning algorithms Machine learning Male Medicine Medicine & Public Health Middle Aged Pattern Recognition, Automated - methods Quantitative analysis Recent Advances in Deep Learning for Biomedical Signal Processing Statistics for Life Sciences Test procedures Tomography, Optical Coherence - methods Vision Glaucoma Sparse autoencoder Cascade CAD
ISSN:	0148-5598, 1573-689X, 1573-689X
Online-Zugang:	Volltext
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