[HTML][HTML] Deep learning-based detection of pigment signs for analysis and diagnosis of retinitis pigmentosa

M Arsalan, NR Baek, M Owais, T Mahmood, KR Park - Sensors, 2020 - mdpi.com
Ophthalmological analysis plays a vital role in the diagnosis of various eye diseases, such
as glaucoma, retinitis pigmentosa (RP), and diabetic and hypertensive retinopathy. RP is a …

[HTML][HTML] Multiscale triplet spatial information fusion-based deep learning method to detect retinal pigment signs with fundus images

M Arsalan, A Haider, C Park, JS Hong… - Engineering Applications of …, 2024 - Elsevier
Inherited retinal diseases (IRDs) are genetic disorders that cause progressive deterioration
of the photoreceptors associated with vision loss or blindness. Retinitis pigmentosa (RP) is a …

Learning-based approach to segment pigment signs in fundus images for retinitis pigmentosa analysis

N Brancati, M Frucci, D Gragnaniello, D Riccio… - Neurocomputing, 2018 - Elsevier
The automatic segmentation of variations in fundus images is being increasingly developed
to establish retinal health, and to diagnose and monitor retinal abnormality. Fundus images …

[PDF][PDF] Diagnosis of retinitis pigmentosa from retinal images

G Ravichandran, P Elangovan… - International Journal of …, 2019 - journals.pan.pl
Retinitis pigmentosa is a genetic disorder that results in nyctalopia and its progression leads
to complete loss of vision. The analysis and the study of retinal images are necessary, so as …

Automatic segmentation of pigment deposits in retinal fundus images of Retinitis Pigmentosa

N Brancati, M Frucci, D Gragnaniello, D Riccio… - … Medical Imaging and …, 2018 - Elsevier
Retinitis Pigmentosa is an eye disease that presents with a slow loss of vision and then
evolves until blindness results. The automatic detection of the early signs of retinitis …

Segmentation of pigment signs in fundus images for retinitis pigmentosa analysis by using deep learning

N Brancati, M Frucci, D Riccio, L Di Perna… - Image Analysis and …, 2019 - Springer
Abstract The adoption of Deep Learning (DL) algorithms into the practice of ophthalmology
could play an important role in screening and diagnosis of eye diseases in the coming …

Early Detection of Retinitis Pigmentosa

AM El Gazoly, KYI Mahmoud… - 2023 Eleventh …, 2023 - ieeexplore.ieee.org
Retinitis pigmentosa (RP) is a debilitating inherited retinal disorder that affects a significant
number of individuals worldwide. Existing diagnostic methods have limitations in detecting …

Nature inspired computational intelligence: a survey

D Kajela, MS Manshahia - International Journal of Engineering …, 2017 - indianjournals.com
The main purpose of studding computational intelligence as independent field is to
understand and apply the principles that make intelligent behaviour possible weather it is …

[PDF][PDF] A survey on application of nature inspired algorithms

SN Tazi, M Gupta, A Jain - Int J Comput Sci Eng, 2014 - researchgate.net
In this paper, the recent advances in nature inspired optimization methods have been
studied. Basically those algorithms that are based on swarm intelligence have been …

Application of deep learning techniques for automating the detection of diabetic retinopathy in retinal fundus photographs

V Khan, D Patel, TA Meenai… - … Conference on Data …, 2020 - ieeexplore.ieee.org
“Diabetic Retinopathy” is a disease that is a strong source of blindness in significant cases. It
is also found that if it is diagnosed in early stage, it could be handled substantially. Now a …