Artificial intelligence in the anterior segment of eye diseases

YH Liu, LY Li, SJ Liu, LX Gao, Y Tang… - International Journal …, 2024 - pmc.ncbi.nlm.nih.gov
Ophthalmology is a subject that highly depends on imaging examination. Artificial
intelligence (AI) technology has great potential in medical imaging analysis, including image …

An automated eye disease recognition system from visual content of facial imagesusing machine learning techniques

A Akram, R Debnath - Turkish Journal of Electrical …, 2020 - journals.tubitak.gov.tr
Many eye diseases like cataracts, trachoma, or corneal ulcer can cause vision problems.
Progression of these eye diseases can only be prevented if they are recognized accurately …

ICSPI: intelligent classification system of pest insects based on image processing and neural arbitration

K Dimililer, S Zarrouk - Applied Engineering in Agriculture, 2017 - elibrary.asabe.org
Detection of insects in agricultural fields is a significant challenge. Minimizing the use of
pesticides is necessary for healthier crops and consumers. Therefore, effective and …

Application of back propagation neural networks on maize plant detection

K Dimililer, E Kiani - Procedia Computer Science, 2017 - Elsevier
Abstract Development of automated in-row weed control is one of the costliest and
complicated tasks in agricultural industry despite the rapid development of agricultural …

A review of artificial intelligence applications in anterior segment ocular diseases

Z Heidari, M Baharinia… - … & innovation in …, 2022 - mehdijournal.com
Background: Artificial intelligence (AI) has great potential for interpreting and analyzing
images and processing large amounts of data. There is a growing interest in investigating …

Automated segmentation for early detection of uveal melanoma

J Ma, SP Iddir, S Ganesh, D Yi, MJ Heiferman - Canadian Journal of …, 2024 - Elsevier
Objective Uveal melanoma is the most common intraocular malignancy in adults. Current
screening and triaging methods for melanocytic choroidal tumours face inherent limitations …

A corneal surface reflections-based intelligent system for lifelogging applications

T Kaluarachchi, S Siriwardhana, E Wen… - … Journal of Human …, 2023 - Taylor & Francis
Abstract Corneal Surface Reflections, or reflections on our eye-surface, have been shown as
a valid and more socially acceptable source of information for passive lifelogging …