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Analysis of Imbalanced Datasets in the Performance of Deep Learning Approaches for COVID-19 Screening from Chest X-ray Imaging: Impact of Sex and Age Factors
(EasyChair, 2023-02-16)
[Absctract]: In this work, we analysed 11 imbalance scenarios with female and male COVID-19 patients present in different proportions for the sex analysis, and 6 scenarios where only one specific age range was used for ...
Sistema automático para la evaluación de enfermedades neurodegenerativas en imágenes OCT mediante deep learning
(2023-12)
El Alzhéimer (AD), el temblor esencial (ET), la esclerósis múltiple (MS) o el Párkinson (PD) son enfermedades neurodegenerativas (END) que están correlacionadas con cambios en algunas capas retinales clave.
Las tomografías ...
Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning
(Wolters Kluwer on behalf of ASCRS and ESCRS, 2024-01)
Purpose:
To evaluate the glistening in 4 different models of intraocular lenses (IOLs) using optical coherence tomography (OCT) and deep learning (DL).
Setting:
Centro Internacional de Oftalmología Avanzada (Madrid, ...
Context encoder self-supervised approaches for eye fundus analysis
(Institute of Electrical and Electronics Engineers Inc., 2021)
[Abstract]: The broad availability of medical images in current clinical practice provides a source of large image datasets. In order to use these datasets for training deep neural networks in detection and segmentation ...
Deep learning for segmentation of optic disc and retinal layers in peripapillary optical coherence tomography images
(Society of Photo-Optical Instrumentation Engineers (SPIE), 2023-06)
[Abstract]: Optical coherence tomography (OCT) is a non-invasive technique that allows the retina to be studied with precision, the analysis of the features of its layers and other structures such as the macula or the optic ...
Portable chest X-ray image generation for the improvement of the automatic COVID-19 screening
(EasyChair, 2023)
[Abstract]: COVID-19 is a disease whose gold standard diagnosis tool, RT-PCR, is unable to provide accurate quantification of its severity in a given patient. Currently, this assessment can be performed with the help of ...
Visualization of pathological changes in retinal layer thickness using optical coherence tomography
(Instituto de Investigación Sanitaria de Santiago (IDIS), 2023-12)
[Abstract]: Optical Coherence Tomography (OCT) is a non-invasive imaging technique that provides high-resolution cross-sectional images of biological
tissues. Biomarkers such as the thickness of retinal layers can be used ...
Reproducibilidad de la medida de los vacíos de flujo en la coriocapilar mediante OCTA en la coriorretinopatía serosa central
(Sociedad Española de Oftalmología, 2022)
[Resumen]: Propósito: Evaluar la repetibilidad de las mediciones de vacíos de flujo (FV) de la coriocapilar
(CC) y la coroides en la coriorretinopatía serosa central (CSC) mediante angiografía por tomografía
de coherencia ...
Generation of Novel Synthetic Portable Chest X-Ray Images for Automatic COVID-19 Screening
(IGI Global, 2022)
[Abstract]: The diagnosis and the study of the evolution of COVID-19 is crucial to tackle the challenge that this disease represents for healthcare services. Chest x-ray imaging allows us to visualize the pulmonary regions, ...
Análisis de datos multimodales para la toma de decisiones clínicas utilizando Inteligencia Artificial en el contexto de la COVID-19
(2023-12-14)
[Abstract]: La COVID-19 es una enfermedad pulmonar infecciosa causante de la pandemia mundial del año 2020. En los momentos críticos de las emergencias sanitarias, el equipo médico debe tomar decisiones importantes en un ...