Artificial intelligence: the unstoppable revolution in ophthalmology

D Benet, OJ Pellicer-Valero - Survey of ophthalmology, 2022 - Elsevier
Artificial intelligence (AI) is an unstoppable force that is starting to permeate all aspects of
our society as part of the revolution being brought into our lives (and into medicine) by the …

Methodological challenges of deep learning in optical coherence tomography for retinal diseases: a review

RT Yanagihara, CS Lee, DSW Ting… - … Vision Science & …, 2020 - tvst.arvojournals.org
Artificial intelligence (AI)-based automated classification and segmentation of optical
coherence tomography (OCT) features have become increasingly popular. However, its 3 …

Basic of machine learning and deep learning in imaging for medical physicists

L Manco, N Maffei, S Strolin, S Vichi, L Bottazzi… - Physica Medica, 2021 - Elsevier
The manuscript aims at providing an overview of the published algorithms/automation tool
for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed …

Diagnosis support systems for rare diseases: a scoping review

C Faviez, X Chen, N Garcelon, A Neuraz… - Orphanet Journal of …, 2020 - Springer
Introduction Rare diseases affect approximately 350 million people worldwide. Delayed
diagnosis is frequent due to lack of knowledge of most clinicians and a small number of …

Automated diagnosis of diabetic retinopathy using clinical biomarkers, optical coherence tomography, and optical coherence tomography angiography

HS Sandhu, M Elmogy, AT Sharafeldeen… - American journal of …, 2020 - Elsevier
Purpose To determine if combining clinical, demographic, and imaging data improves
automated diagnosis of nonproliferative diabetic retinopathy (NPDR). Design Cross …

Oral cancer screening by artificial intelligence‐oriented interpretation of optical coherence tomography images

K Ramezani, M Tofangchiha - Radiology Research and …, 2022 - Wiley Online Library
Early diagnosis of oral cancer is critical to improve the survival rate of patients. The current
strategies for screening of patients for oral premalignant and malignant lesions unfortunately …

A novel multiscale convolutional neural network based age-related macular degeneration detection using OCT images

A Thomas, PM Harikrishnan, AK Krishna… - … Signal Processing and …, 2021 - Elsevier
Age-related macular degeneration (AMD) is an ocular disorder that affects the elderly. The
prevalence of AMD is growing due to the aging population in society; hence early diagnosis …

Data driven approach for eye disease classification with machine learning

S Malik, N Kanwal, MN Asghar, MAA Sadiq, I Karamat… - Applied Sciences, 2019 - mdpi.com
Medical health systems have been concentrating on artificial intelligence techniques for
speedy diagnosis. However, the recording of health data in a standard form still requires …

RAG-FW: A hybrid convolutional framework for the automated extraction of retinal lesions and lesion-influenced grading of human retinal pathology

T Hassan, MU Akram, N Werghi… - IEEE journal of …, 2020 - ieeexplore.ieee.org
The identification of retinal lesions plays a vital role in accurately classifying and grading
retinopathy. Many researchers have presented studies on optical coherence tomography …

A novel multiscale and multipath convolutional neural network based age-related macular degeneration detection using OCT images

A Thomas, PM Harikrishnan, R Ramachandran… - Computer methods and …, 2021 - Elsevier
Abstract Background and Objective: One of the significant retinal diseases that affected older
people is called Age-related Macular Degeneration (AMD). The first stage creates a blur …