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Comparison of machine learning models for the prediction of cancer cells using MHC class I complexes
(SPIE, 2020)
Currently, cancer is the leading cause of death worldwide, making millions of deaths annually in developing countries due to a shortage of detection and treatment. Early detection of cancer neoantigens is useful for ...
How can technology assist occupational voice users?
(Taylor y Francis Ltd., 2020)
The voice is an important tool for people who use it daily in their occupations. However, what technological options are available to such individuals to allow them to monitor or take care of their voices?
SOPHIA: System for Ophthalmic Image Acquisition, Transmission, and Intelligent AnalysisSOPHIA: Sistema para adquisición, transmisión, y análisis inteligente de imágenes oftálmicas
(Universidad de Antioquia, 2020)
Ocular diseases are one of the main causes of irreversible disability in people in productive age. In 2020, approximately 18% of the worldwide population was estimated to suffer of diabetic retinopathy and diabetic macular ...
Information and Communication Technologies for managing frailty: a systematic literature review
(Sociedad Internacional sobre el Envejecimiento y las Enfermedades., 2020)
Frailty is a prevalent condition among Canadians; over one million are diagnosed as medically frail, and in the next ten years this number will double. Information and telecommunication technologies can provide a low-cost ...
Segmentation of retinal fluids and hyperreflective foci using deep learning approach in optical coherence tomography scans
(SPIE, 2020)
Retinal diseases are a common cause of blindness around the world, early detection of clinical findings can help to avoid vision loss in patients. Optical coherence tomography images have been widely used to diagnose retinal ...
Information and Communication Technologies for managing frailty: a systematic literature review
(International Society on Aging and Disease, 2020)
Frailty is a prevalent condition among Canadians; over one million are diagnosed as medically frail, and in the next ten years this number will double. Information and telecommunication technologies can provide a low-cost ...
A Conditional Generative Adversarial Network-Based Method for Eye Fundus Image Quality Enhancement
(Springer Verlag, 2020)
Eye fundus image quality represents a significant factor involved in ophthalmic screening. Usually, eye fundus image quality is affected by artefacts, brightness, and contrast hindering ophthalmic diagnosis. This paper ...
Hybrid Deep Learning Gaussian Process for Diabetic Retinopathy Diagnosis and Uncertainty Quantification
(Springer Science, 2020)
La retinopatía diabética (RD) es una de las complicaciones microvasculares de la diabetes mellitus, que sigue siendo una de las principales causas de ceguera en todo el mundo. Los modelos computacionales basados en redes ...
A lightweight deep learning model for mobile eye fundus image quality assessment
(SPIE, 2020)
Image acquisition and automatic quality analysis are fundamental stages and tasks to support an accurate ocular diagnosis. In particular, when eye fundus image quality is not appropriate, it can hinder the diagnosis task ...
Sleep apnea: Tracking effects of a first session of CPAP therapy by means of Granger causality
(Elsevier, 2020)
Connectivity between physiological networks is an issue of particular importance for understanding the complex interaction brain-heart. In the present study, this interaction was analyzed in polysomnography recordings of ...