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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 ...
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 ...
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 ...
Fully-automatic segmentation of the ciliary muscle using anterior segment optical coherence tomography images
(Institute of Electrical and Electronics Engineers, 2022)
[Abstract]: The study of the ciliary muscle represents a fundamental step in the diagnosis and treatment of many high-incidence diseases, such as glaucoma or myopia. Currently, Anterior Segment Optical Coherence Tomography ...
Sistema automático para la predicción de la respuesta a la terapia fotodinámica en la coriorretinopatía serosa central
(Instituto de Investigación Sanitaria de Santiago (IDIS), 2023-12)
[Resumen] Se presenta un innovador método de deep learning para la segmentación automatizada en 3D de las regiones de fluido en imágenes de Tomografía de Coherencia ´Óptica (OCT) de pacientes con coriorretinopatía serosa ...