Cubical homology-based machine learning: An application in image classification

S Choe, S Ramanna - Axioms, 2022 - mdpi.com
Persistent homology is a powerful tool in topological data analysis (TDA) to compute, study,
and encode efficiently multi-scale topological features and is being increasingly used in …

Quality assessment of colour fundus and fluorescein angiography images using deep learning

M König, P Seeböck, BS Gerendas… - British Journal of …, 2024 - bjo.bmj.com
Background/aims Image quality assessment (IQA) is crucial for both reading centres in
clinical studies and routine practice, as only adequate quality allows clinicians to correctly …

Persistent Homology-Based Machine Learning Method for Filtering and Classifying Mammographic Microcalcification Images in Early Cancer Detection

AA Malek, MA Alias, FA Razak, MSM Noorani… - Cancers, 2023 - mdpi.com
Simple Summary The appearance of microcalcifications in mammogram images is an
essential predictor for radiologists to detect early-stage breast cancer. This study aims to …

Secure medical image transmission scheme using lorenz's attractor applied in computer aided diagnosis for the detection of eye melanoma

DF Santos, HE Espitia - Computation, 2022 - mdpi.com
Early detection of diseases is vital for patient recovery. This article explains the design and
technical matters of a computer-supported diagnostic system for eye melanoma detection …

[HTML][HTML] FGR-Net: interpretable fundus image gradeability classification based on deep reconstruction learning

S Khalid, HA Rashwan, S Abdulwahab… - Expert Systems With …, 2024 - Elsevier
The performance of diagnostic Computer-Aided Design (CAD) systems for retinal diseases
depends on the quality of the retinal images being screened. Thus, many studies have been …

Improving Classification Performance of Spatial Filters in Mammographic Microcalcifications Images Using Persistent Homology

AA Malek, MA Alias, FA Razak… - Malaysian Journal of …, 2024 - mjfas.utm.my
Noise and artefacts in mammogram images can obscure important indicators of
microcalcifications, complicating accurate diagnosis. While traditional spatial filters can …

[HTML][HTML] Topology Regulated Background Extraction (TRBE) method for eye fundus images

GJ Avilés-Rodríguez, JI Nieto-Hipólito, MA Cosío-León… - MethodsX, 2024 - Elsevier
One of the initial steps in the preprocessing of digital fundoscopy images is the identification
of pixels containing relevant information. This can be achieved through different …

[HTML][HTML] Clinical Relevance of Choroidal Thickness in Obese and Healthy Children: A Machine Learning Study

E Bulut, S Köprübaşı, Ö Dayi, H Bulut - Turkish Journal of …, 2023 - ncbi.nlm.nih.gov
Objectives: To analyze the effect of macular choroidal thickness (MCT) and peripapillary
choroidal thickness (PPCT) on the classification of obese and healthy children by comparing …

Obez ve Sağlıklı Çocuklarda Koroid Kalınlığının Klinik İlişkisi: Makine Öğrenimi Çalışması

E Bulut, S Köprübaşı, Ö Dayi… - Türk Oftalmoloji …, 2023 - acikerisim.gelisim.edu.tr
Amaç:“Random forest”(RF),“support vector machine”(SVM) ve “multilayer perceptrons”(MLP)
algoritmalarının performansını karşılaştırarak maküler koroid kalınlığı (MKT) ve peripapiller …

[PDF][PDF] A. BACKGROUND

CCOA Date - superiorvision.com
1 Policy Name Clinical Policy – Telemedicine Policy Number 1336.00 Department Clinical
Product & Strategy Subcategory Medi Page 1 1 Policy Name Clinical Policy – Telemedicine …