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Intraretinal Fluid Detection by Means of a Densely Connected Convolutional Neural Network Using Optical Coherence Tomography Images
(MDPI AG, 2019-08-01)
[Abstract] Hereby we present a methodology with the objective of detecting retinal fluid accumulations in between the retinal layers. The methodology uses a robust Densely Connected Neural Network to classify thousands of ...
COVID-19 Lung Radiography Segmentation by Means of Multiphase Transfer Learning
(MDPI, 2021)
[Abstract] COVID-19 is characterized by its impact on the respiratory system and, during the global outbreak of 2020, specific protocols had to be designed to contain its spread within hospitals. This required the use of ...
Computational Radiological Screening of Patients with COVID-19 Using Chest X-ray Images from Portable Devices
(MDPI, 2021)
[Abstract] This work presents a fully automatic system for the screening of chest X-ray images from portable devices under the analysis of three different clinical categories: normal, pathological cases of pulmonary diseases ...
Region of interest-bounded COVID-19 lung screening using images from portable X-ray devices
(EasyChair, 2023)
[Abstract]: X-ray analysis of the lungs was the main method to assess the degree of affliction of SARS-COV-2. Due to the high contagiousness of this pathology, this assessment was conducted using portable X-ray devices. ...
Feature definition, analysis and selection for cystoid region characterization in Optical Coherence Tomography
(Elsevier B.V., 2017)
[Abstract]: Optical Coherence Tomography (OCT) is, nowadays, a clinical standard imaging technique in opthalmology as it provides more information than other classical modalities as can be, for instance, retinographies. ...
Fluid Region Analysis and Identification via Optical Coherence Tomography Image Samples
(MDPI, 2018)
[Abstract]: The work herein proposed presents a methodology which aims to identify cystoid regions using OCT scans. This method obtained satisfactory results detecting cystoid regions with different levels of complexity ...
Transformer-Based Multi-Prototype Approach for Diabetic Macular Edema Analysis in OCT Images
(Institute of Electrical and Electronics Engineers, 2023)
[Abstract]: Optical Coherence Tomography (OCT) is the major diagnostic tool for the leading cause of blindness in developed countries: Diabetic Macular Edema (DME). Depending on the type of fluid accumulations, different ...
Intuitive and Coherent Intraretinal Cystoid Map Representation in Optical Coherence Tomography Images
(Springer, 2020)
[Abstract]: Fluid accumulations in between the retinal layers represent one of the main causes of blindness in developed countries. Currently, these fluid accumulations are detected by means of a manual inspection of Optical ...
Computerized tool for identification and enhanced visualization of Macular Edema regions using OCT scans
(2019-04)
[Absctract]: We propose a novel methodology using Optical Coherence
Tomography (OCT) images to detect the 3 clinically defined types of Macular
Edema, which is among the main causes of blindness: Diffuse Retinal
Thickening ...
Automatic Identification of Diabetic Macular Edema Using a Transfer Learning-Based Approach
(MDPI AG, 2019-07-31)
[Abstract] This paper presents a complete system for the automatic identification of pathological Diabetic Macular Edema (DME) cases using Optical Coherence Tomography (OCT) images as source of information. To do so, the ...