einstein (São Paulo). 15/Dec/2021;19:eED6860.
Machine learning in image analysis in ophthalmology
DOI: 10.31744/einstein_journal/2021ED6860
Macular degeneration is the leading cause of irreversible blindness in developed countries in individuals aged over 50 years.( ) Aiming to better diagnose and monitor the disease, algorithms have been developed to detect lesions in optical coherence tomography (OCT). The ability of machine learning algorithms to detect OCT lesions may already be comparable to that of retina specialists.( )
The theory of machine learning consists of simulating tiny synapses of a human brain. Neural networks were inspired by human synapses and are mathematical models applied in pattern classification and recognition.
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Machine learning in image analysis in ophthalmology
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