Results 31 to 40 of about 2,892,707 (247)

A new approach for sensitivity improvement of retinal blood vessel segmentation in high-resolution fundus images based on phase stretch transform

IJAIN (International Journal of Advances in Intelligent Informatics), 2022
The eye-fundus photograph is widely used for eye examinations. Accurate identification of retinal blood vessels could reveal information that is helpful for clinical diagnoses of many health disorders.
Kartika Firdausy, Oyas Wahyunggoro, Hanung Adi Nugroho, Muhammad Bayu Sasongko   +3 more
doaj   +1 more source

Automated Detection of Retinopathy of Prematurity Using Quantum Machine Learning and Deep Learning Techniques

IEEE Access, 2023
Retinopathy of prematurity (ROP) is a vasoproliferative retinal disease that affects premature infants and causes permanent blindness if left untreated.
V. M. Raja Sankari, U. Umapathy, Sultan Alasmari, Shabnam Mohamed Aslam   +3 more
doaj   +1 more source

Drusen Segmentation From Retinal Images via Supervised Feature Learning

IEEE Access, 2018
This paper presents a supervised feature learning method to learn discriminative and compact descriptors for drusen segmentation from retinal images.
Xiuxiu Ren, Yuanjie Zheng, Yanna Zhao, Chao Luo, Hong Wang, Jian Lian, Yunlong He   +6 more
doaj   +1 more source

OCT-based deep-learning models for the identification of retinal key signs

Scientific Reports, 2023
A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to recognize specific retinal abnormality signs on Optical Coherence Tomography (OCT) images useful for clinical practice.
Inferrera Leandro, Borsatti Lorenzo, Miladinovic Aleksandar, Marangoni Dario, Giglio Rosa, Accardo Agostino, Tognetto Daniele   +6 more
doaj   +1 more source

Cardiovascular risk assessment from retinal images in a diabetic population [PDF]

, 2022
openThis research work has been carried out at the Computer Vision and Image processing department of the University of Dundee in Scotland. We used the retinal images of the GoDARTS dataset, which was born from a project in 1996 that aimed to identify ...
POLETTO, SARA
core  

Ultra-widefield fundus imaging in gas-filled eyes after vitrectomy

BMC Ophthalmology, 2017
Background To evaluate the quality of the images obtained by an ultra-widefield device in gas-filled eyes after vitrectomy for a retinal detachment. Methods Retrospective case series. The ultra-widefield scanning laser ophthalmoscopic images (Optos 200Tx
Makoto Inoue, Takashi Koto, Kazunari Hirota, Akito Hirakata   +3 more
doaj   +1 more source

Colour normalisation to reduce inter-patient and intra-patient variability in microaneurysm detection in colour retinal images [PDF]

, 2005
Images of the human retina vary considerably in their appearance depending on the skin pigmentation (amount of melanin) of the subject. Some form of normalisation of colour in retinal images is required for automated analysis of images if good ...
Cornforth, D.J., Gamble, E., Cree, Michael J.   +2 more
core   +1 more source

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source

WGAN-GP for Synthetic Retinal Image Generation: Enhancing Sensor-Based Medical Imaging for Classification Models

Sensors
Accurate synthetic image generation is crucial for addressing data scarcity challenges in medical image classification tasks, particularly in sensor-derived medical imaging.
Héctor Anaya-Sánchez, Leopoldo Altamirano-Robles, Raquel Díaz-Hernández, Saúl Zapotecas-Martínez   +3 more
doaj   +1 more source

Deep learning for gradability classification of handheld, non-mydriatic retinal images

Scientific Reports, 2021
Screening effectively identifies patients at risk of sight-threatening diabetic retinopathy (STDR) when retinal images are captured through dilated pupils.
Paul Nderitu, Joan M. Nunez do Rio, Rajna Rasheed, Rajiv Raman, Ramachandran Rajalakshmi, Christos Bergeles, Sobha Sivaprasad, for the SMART India Study Group   +7 more
doaj   +1 more source