Browsing Faculty Contributions by Subject "Corneal confocal microscopy"
Now showing items 1-4 of 4
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Classification of corneal nerve images using machine learning techniques
( Penerbit UTHM , 2019 , Article)Recent research shows that small nerve fiber damage is an early detector of neuropathy. These small nerve fibers are present in the human cornea and can be visualized through the use of a corneal confocal microscope. A ... -
Computational methods for automated analysis of corneal nerve images: Lessons learned from retinal fundus image analysis
( Elsevier , 2020 , Article Review)Corneal and retinal imaging provide a descriptive view of the nerve and vessel structure present inside the human eye, in a non-invasive manner. This helps in ocular, or other, disease identification and diagnosis. However, ... -
Neuro-fuzzy classifier for corneal nerve images
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)Alterations in the corneal nerves have been associated with changes in the neuropathy condition of a patient suffering from chronic diseases. A corneal confocal microscope provides a non-invasive way to capture a series ... -
Smart neuropathy detection using machine intelligence: Filling the void between clinical practice and early diagnosis
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)An important aspect of Smart healthcare involves the development of innovative non-intrusive procedures for early detection and diagnosis of specific illnesses. Essentially, diseases for which very complicated and invasive ...