Acceso al sitio web del Consejo de Políticas de Infraestructura

   
Inicio  /  Applied Sciences  /  Vol: 12 Par: 16 (2022)  /  Artículo
ARTÍCULO
TITULO

A Computer-Aided Diagnostic System for Diabetic Retinopathy Based on Local and Global Extracted Features

Sayed Haggag    
Ahmed Elnakib    
Ahmed Sharafeldeen    
Mohamed Elsharkawy    
Fahmi Khalifa    
Rania Kamel Farag    
Mohamed A. Mohamed    
Harpal Singh Sandhu    
Wathiq Mansoor    
Ashraf Sewelam and Ayman El-Baz    

Resumen

This paper presents a novel deep learning system for the detection and diagnosis of diabetic retinopathy using optical coherence tomography images.

PÁGINAS
pp. 0 - 0

 Artículos similares

       
 
Raul-Ronald Galea, Laura Diosan, Anca Andreica, Loredana Popa, Simona Manole and Zoltán Bálint    
Despite the promising results obtained by deep learning methods in the field of medical image segmentation, lack of sufficient data always hinders performance to a certain degree. In this work, we explore the feasibility of applying deep learning methods... ver más
Revista: Applied Sciences

 
Aliyu Abubakar, Mohammed Ajuji and Ibrahim Usman Yahya    
While visual assessment is the standard technique for burn evaluation, computer-aided diagnosis is increasingly sought due to high number of incidences globally. Patients are increasingly facing challenges which are not limited to shortage of experienced... ver más

 
Lilia Lazli, Mounir Boukadoum and Otmane Ait Mohamed    
Computer-aided diagnostic (CAD) systems use machine learning methods that provide a synergistic effect between the neuroradiologist and the computer, enabling an efficient and rapid diagnosis of the patient?s condition. As part of the early diagnosis of ... ver más
Revista: Applied Sciences

 
Chung-Ming Lo, Peng-Hsiang Hung and Kevin Li-Chun Hsieh    
Ischemic stroke is one of the leading causes of disability and death. To achieve timely assessments, a computer-aided diagnosis (CAD) system was proposed to perform early recognition of hyperacute ischemic stroke based on non-contrast computed tomography... ver más
Revista: Applied Sciences

 
Sendren Sheng-Dong Xu, Chun-Chao Chang, Chien-Tien Su and Pham Quoc Phu    
This paper discusses using computer-aided diagnosis (CAD) to distinguish between hepatocellular carcinoma (HCC), i.e., the most common type of primary liver malignancy and a leading cause of death in people with cirrhosis worldwide, and liver abscess bas... ver más
Revista: Applied Sciences