Recent advancements in retinal vessel segmentation
Retinal vessel segmentation is a key step towards the accurate visualization, diagnosis,
early treatment and surgery planning of ocular diseases. For the last two decades, a …
early treatment and surgery planning of ocular diseases. For the last two decades, a …
Artificial intelligence for retinopathy of prematurity
RH Gensure, MF Chiang… - Current opinion in …, 2020 - journals.lww.com
Real-world implementation of artificial intelligence for ROP diagnosis will require massive
efforts targeted at develo** standards for data acquisition, true external validation, and …
efforts targeted at develo** standards for data acquisition, true external validation, and …
Classification of breast cancer histopathological images using discriminative patches screened by generative adversarial networks
R Man, P Yang, B Xu - IEEE access, 2020 - ieeexplore.ieee.org
Computer-aided diagnosis (CAD) systems of breast cancer histopathological images
automated classification can help reduce the manual observation workload of pathologists …
automated classification can help reduce the manual observation workload of pathologists …
GabROP: gabor wavelets-based CAD for retinopathy of prematurity diagnosis via convolutional neural networks
O Attallah - Diagnostics, 2023 - mdpi.com
One of the most serious and dangerous ocular problems in premature infants is retinopathy
of prematurity (ROP), a proliferative vascular disease. Ophthalmologists can use automatic …
of prematurity (ROP), a proliferative vascular disease. Ophthalmologists can use automatic …
DIAROP: automated deep learning-based diagnostic tool for retinopathy of prematurity
O Attallah - Diagnostics, 2021 - mdpi.com
Retinopathy of Prematurity (ROP) affects preterm neonates and could cause blindness.
Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP. This paper …
Deep Learning (DL) can assist ophthalmologists in the diagnosis of ROP. This paper …
Computer-aided diagnosis: A survey with bibliometric analysis
R Takahashi, Y Kajikawa - International journal of medical informatics, 2017 - Elsevier
Computer-aided diagnosis (CAD) has been a promising area of research over the last two
decades. However, CAD is a very complicated subject because it involves a number of …
decades. However, CAD is a very complicated subject because it involves a number of …
A deep learning framework for the detection of Plus disease in retinal fundus images of preterm infants
Retinopathy of prematurity (ROP) is an eye disorder that mainly affects fundus vasculature of
immature infants. The effect of this disease can be mild with no observable impairments or …
immature infants. The effect of this disease can be mild with no observable impairments or …
Current application of digital diagnosing systems for retinopathy of prematurity
Abstract Background and Objective Retinopathy of prematurity (ROP), a proliferative
vascular eye disease, is one of the leading causes of blindness in childhood and prevails in …
vascular eye disease, is one of the leading causes of blindness in childhood and prevails in …
Current and future roles of artificial intelligence in retinopathy of prematurity
Retinopathy of prematurity (ROP) is a severe condition affecting premature infants, leading
to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. While …
to abnormal retinal blood vessel growth, retinal detachment, and potential blindness. While …
A computer-aided diagnosis system for plus disease in retinopathy of prematurity with structure adaptive segmentation and vessel based features
Retinopathy of Prematurity (ROP) is a blinding disease affecting the retina of low birth-
weight preterm infants. Accurate diagnosis of ROP is essential to identify treatment-requiring …
weight preterm infants. Accurate diagnosis of ROP is essential to identify treatment-requiring …