[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression
AC Thompson, AA Jammal… - … vision science & …, 2020 - iovs.arvojournals.org
Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …
deep learning has risen to the forefront of artificial intelligence, with performances that often …
Artificial intelligence in glaucoma: posterior segment optical coherence tomography
A Gutierrez, TC Chen - Current Opinion in Ophthalmology, 2023 - journals.lww.com
DL models offer time-efficient, objective, and potential options in the management of
glaucoma. Although artificial intelligence models have already been commercially accepted …
glaucoma. Although artificial intelligence models have already been commercially accepted …
Clinically verified hybrid deep learning system for retinal ganglion cells aware grading of glaucomatous progression
Objective: Glaucoma is the second leading cause of blindness worldwide. Glaucomatous
progression can be easily monitored by analyzing the degeneration of retinal ganglion cells …
progression can be easily monitored by analyzing the degeneration of retinal ganglion cells …
Deep learning–assisted detection of glaucoma progression in spectral-domain OCT
EB Mariottoni, S Datta, LS Shigueoka… - Ophthalmology …, 2023 - Elsevier
Purpose To develop and validate a deep learning (DL) model for detection of glaucoma
progression using spectral-domain (SD)-OCT measurements of retinal nerve fiber layer …
progression using spectral-domain (SD)-OCT measurements of retinal nerve fiber layer …
Circumpapillary OCT-focused hybrid learning for glaucoma grading using tailored prototypical neural networks
G García, R Del Amor, A Colomer… - Artificial Intelligence in …, 2021 - Elsevier
Glaucoma is one of the leading causes of blindness worldwide and Optical Coherence
Tomography (OCT) is the quintessential imaging technique for its detection. Unlike most of …
Tomography (OCT) is the quintessential imaging technique for its detection. Unlike most of …
Retinal changes in Parkinson's disease: a non-invasive biomarker for early diagnosis
MD Subramaniam, P Aishwarya Janaki… - Cellular and Molecular …, 2023 - Springer
Parkinson's disease (PD) is caused due to degeneration of dopaminergic neurons in the
substantia nigra pars compacta (SNpc) which leads to the depletion of dopamine in the …
substantia nigra pars compacta (SNpc) which leads to the depletion of dopamine in the …
[HTML][HTML] Artificial intelligence in ophthalmology
SI Popescu, AAM Muşat, C Patoni… - Romanian Journal of …, 2023 - ncbi.nlm.nih.gov
One of the fields of medicine in which artificial intelligence techniques have made progress
is ophthalmology. Artificial intelligence (AI) applications for preventing vision loss in eye …
is ophthalmology. Artificial intelligence (AI) applications for preventing vision loss in eye …
Glaucoma detection using optical coherence tomography images: a systematic review of clinical and automated studies
Glaucoma is a progressive and degenerative optic neuropathy that causes severe visual
impairment or even blindness if left untreated. Glaucoma is majorly caused due to stress …
impairment or even blindness if left untreated. Glaucoma is majorly caused due to stress …
[HTML][HTML] Radiomics: an overview in lung cancer management—a narrative review
B Chen, L Yang, R Zhang, W Luo… - Annals of Translational …, 2020 - ncbi.nlm.nih.gov
Radiomics is a novel approach for optimizing the analysis massive data from medical
images to provide auxiliary guidance in clinical issues. Quantitative feature extraction is one …
images to provide auxiliary guidance in clinical issues. Quantitative feature extraction is one …
A review of deep learning techniques for glaucoma detection
T Guergueb, MA Akhloufi - SN Computer Science, 2023 - Springer
Glaucoma is one of the major reasons for visual impairment all across the globe. The recent
advancements in machine learning techniques have greatly facilitated ophthalmologists in …
advancements in machine learning techniques have greatly facilitated ophthalmologists in …