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Listar por autor "Pérez Benito, Francisco Javier"

Mostrando ítems 1-10 de 10

A Deep Learning Framework to classify Breast Density with Noisy Labels Regularization

López-Almazán, Héctor; Perez-Benito, Francisco Javier; Larroza, Andrés; Perez-Cortes, Juan-Carlos; Pollán, Marina; Perez-Gomez, Beatriz; Salas-Trejo, Dolores; Casals, María; Llobet Azpitarte, Rafael (Elsevier, 2022-06-01)

[EN] Background and Objective: Breast density assessed from digital mammograms is a biomarker for higher risk of developing breast cancer. Experienced radiologists assess breast density using the Breast Image and Data ...
A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation

Perez-Benito, Francisco Javier; Signol, François; Perez-Cortes, Juan-Carlos; Fuster Bagetto, Alejandro; Pollan, Marina; Pérez-Gómez, Beatriz; Salas-Trejo, Dolores; Casals, Maria; Martínez, Inmaculada; Llobet Azpitarte, Rafael (Elsevier, 2020-10)

[EN] Background and Objective: Breast cancer is the most frequent cancer in women. The Spanish healthcare network established population-based screening programs in all Autonomous Communities, where mammograms of asymptomatic ...
A happiness degree predictor using the conceptual data structure for deep learning architectures

Perez-Benito, Francisco Javier; Villacampa-Fernandez, Patricia; Conejero, J. Alberto; Garcia-Gomez, Juan M; NAVARRO-PARDO, ESPERANZA (Elsevier, 2019-01)

[EN] Background and Objective: Happiness is a universal fundamental human goal. Since the emergence of Positive Psychology, a major focus in psychological research has been to study the role of certain factors in the ...
Bias Analysis on Public X-Ray Image Datasets of Pneumonia and COVID-19 Patients

Omar del Tejo Catalá; Salvador Igual, Ismael; Perez-Benito, Francisco Javier; Millan-Escriva, David; ORTIZ, V.; Llobet Azpitarte, Rafael; Perez-Cortes, Juan-Carlos (Institute of Electrical and Electronics Engineers, 2021)

[EN] Chest X-ray images are useful for early COVID-19 diagnosis with the advantage that X-ray devices are already available in health centers and images are obtained immediately. Some datasets containing X-ray images with ...
Community detection-based deep neural network architectures: A fully automated framework based on Likert-scale data

Perez-Benito, Francisco Javier; Garcia-Gomez, Juan M.; NAVARRO PARDO, ESPERANZA; Conejero, J. Alberto (John Wiley & Sons, 2020-09-30)

[EN] Deep neural networks (DNNs) have emerged as a state-of-the-art tool in very different research fields due to its adaptive power to the decision space since they do not presuppose any linear relationship between data. ...
Creación de modelos predictivos para la estimación del riesgo de desarrollar cáncer de mama

Tendero Alarcón, Raquel (Universitat Politècnica de València, 2023-09-14)

[ES] El cáncer que produce el mayor número de muertes en la población femenina es el de mama debido a su gran incidencia. La detección temprana de la enfermedad es vital para la aplicación de un tratamiento a tiempo, que ...
Divisibility patterns within Pascal divisibility networks

Solares-Hernández, Pedro Antonio; Manzano, Fernando A.; Perez-Benito, Francisco Javier; Conejero, J. Alberto (MDPI AG, 2020-02)

[EN] The Pascal triangle is so simple and rich that it has always attracted the interest of professional and amateur mathematicians. Their coefficients satisfy a myriad of properties. Inspired by the work of Shekatkar et ...
Healthcare data heterogeneity and its contribution to machine learning performance

Pérez Benito, Francisco Javier (Universitat Politècnica de València, 2020-11-09)

[EN] The data quality assessment has many dimensions, from those so obvious as the data completeness and consistency to other less evident such as the correctness or the ability to represent the target population. In ...
Subgrouping factors influencing migraine intensity in women: A semi-automatic methodology based on machine learning and information geometry

Perez-Benito, Francisco Javier; Conejero, J. Alberto; Sáez Silvestre, Carlos; Garcia-Gomez, Juan M; Navarro-Pardo, Esperanza; Florencio, Lidiane L.; Fernández-de-las-Peñas, César (Wiley-Blackwell Publishing, 2020-03)

[EN] Background Migraine is a heterogeneous condition with multiple clinical manifestations. Machine learning algorithms permit the identification of population groups, providing analytical advantages over other modeling ...
Temporal variability analysis reveals biases in electronic health records due to hospital process reengineering interventions over seven years

Perez-Benito, Francisco Javier; Sáez Silvestre, Carlos; Conejero, J. Alberto; Tortajada, Salvador; Valdivieso, Bernardo; Garcia-Gomez, Juan M (Public Library of Science, 2019-08-07)

[EN] Objective To evaluate the effects of Process-Reengineering interventions on the Electronic Health Records (EHR) of a hospital over 7 years. Materials and methods Temporal Variability Assessment (TVA) based on ...