An intelligent decision-making system for early diagnosis of macular pathology

An intelligent decision-making system for early diagnosis of macular pathology

Purpose: to develop a software technology based on artificial intelligence methods aimed at analyzing large volumes of optical coherent tomography (OCT) data in order to identify early symptoms of age-related macular degeneration (AMD) and the transition from dry AMD to neovascular AMD (nAMD).Materi...

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Bibliographic Details
Main Authors: T. G. Kamenskikh, O. N. Dolinina, I. O. Kolbenev, E. V. Veselova
Format: Article
Language:Russian
Published: Real Time Ltd 2022-06-01
Series:Российский офтальмологический журнал
Subjects:
amd
dry form
neovascular form
artificial neural network
Online Access:https://roj.igb.ru/jour/article/view/963
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