A review of feature selection methods in medical applications
B Remeseiro, V Bolon-Canedo - Computers in biology and medicine, 2019 - Elsevier
Feature selection is a preprocessing technique that identifies the key features of a given
problem. It has traditionally been applied in a wide range of problems that include biological …
problem. It has traditionally been applied in a wide range of problems that include biological …
Assessment of angle closure disease in the age of artificial intelligence: A review
Primary angle closure glaucoma is a visually debilitating disease that is under-detected
worldwide. Many of the challenges in managing primary angle closure disease (PACD) are …
worldwide. Many of the challenges in managing primary angle closure disease (PACD) are …
Combination of clinical and multiresolution features for glaucoma detection and its classification using fundus images
Glaucoma is a neuro-degenerative disorder of the eye and it leads to permanent blindness
when untreated or detected in the later stage. The main cause of glaucoma is the damage of …
when untreated or detected in the later stage. The main cause of glaucoma is the damage of …
Anterior segment optical coherence tomography (AS-OCT) image analysis methods and applications: A systematic review
YFG Marin, D Alonso-Caneiro, SJ Vincent… - Computers in Biology …, 2022 - Elsevier
Background Anterior segment optical coherence tomography (AS-OCT) constitutes an
important imaging modality to examine the anterior eye, which is commonly used in …
important imaging modality to examine the anterior eye, which is commonly used in …
Anterior segment imaging for angle closure
S Chansangpetch, P Rojanapongpun, SC Lin - American journal of …, 2018 - Elsevier
Purpose To summarize the role of anterior segment imaging (AS-imaging) in angle closure
diagnosis and management, and the possible advantages over the current standard of …
diagnosis and management, and the possible advantages over the current standard of …
Automated anterior segment OCT image analysis for angle closure glaucoma mechanisms classification
Background and objectives Angle closure glaucoma (ACG) is an eye disease prevalent
throughout the world. ACG is caused by four major mechanisms: exaggerated lens vault …
throughout the world. ACG is caused by four major mechanisms: exaggerated lens vault …
RPE layer detection and baseline estimation using statistical methods and randomization for classification of AMD from retinal OCT
Abstract Background and Objective: Age-related macular degeneration (AMD) is a condition
of the eye that affects the aged people. Optical coherence tomography (OCT) is a diagnostic …
of the eye that affects the aged people. Optical coherence tomography (OCT) is a diagnostic …
Learning ECOC code matrix for multiclass classification with application to glaucoma diagnosis
Classification of different mechanisms of angle closure glaucoma (ACG) is important for
medical diagnosis. Error-correcting output code (ECOC) is an effective approach for …
medical diagnosis. Error-correcting output code (ECOC) is an effective approach for …
Improved swarm optimization of deep features for glaucoma classification using SEGSO and VGGNet
Efficient classification of glaucoma from fundus images remains crucial and a challenging
task as the retinal anatomical structure is so complex in nature with varying contrast and …
task as the retinal anatomical structure is so complex in nature with varying contrast and …
[HTML][HTML] Qualitative evaluation of anterior segment in angle closure disease using anterior segment optical coherence tomography
Purpose To evaluate different mechanisms of primary angle closure (PAC) and to quantify
anterior chamber (AC) parameters in different subtypes of angle closure disease using …
anterior chamber (AC) parameters in different subtypes of angle closure disease using …