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1.
Biomed Phys Eng Express ; 8(3)2022 04 08.
Article in English | MEDLINE | ID: mdl-35325887

ABSTRACT

The Gleason grade system is the main standard to quantify the aggressiveness and progression of prostate cancer. Currently, exists a high disagreement among experts in the diagnosis and stratification of this disease. Deep learning models have emerged as an alternative to classify and support experts automatically. However, these models are limited to learn a rigid stratification rule that can be biased during training to a specific observer. Therefore, this work introduces an embedding representation that integrates an auxiliary task learning to deal with the high inter and intra appearance of the Gleason system. The proposed strategy implements as a main task a triplet loss scheme that builds a feature embedding space with respect to batches of positive and negative histological training patches. As an auxiliary task is added a cross-entropy that helps with inter-class variability of samples while adding robust representations to the main task. The proposed approach shows promising results achieving an average accuracy of 66% and 64%, for two experts without statistical difference. Additionally, reach and average accuracy of 73% in patches where both pathologists are agree, showing the robustness patterns learning from the approach.


Subject(s)
Prostatic Neoplasms , Humans , Image Interpretation, Computer-Assisted/methods , Male , Neoplasm Grading , Pathologists , Prostatic Neoplasms/pathology
2.
Lima; Organismo Andino de Salud Convenio Hipólito Unanue; 10; 09 jul, 2020. 2 p.
Non-conventional in Spanish | LILACS, LIPECS | ID: biblio-1401234

ABSTRACT

Webinar N° 10 del ORAS-CONHU, realizado el 09 de julio de 2020, se realizó un webinar con el objetivo de analizar los avances y desafío que tiene la región andina en cuanto a las acciones y medidas multi e intersectoriales tomadas para garantizar educación para todos en tiempos de covid-19. Al reconocer que la educación es uno de los determinantes sociales de la salud, nos vemos en la necesidad de analizar tanto la dimensión global de esta relación, como cada una de las interacciones que se producen con otras variables del desarrollo humano, para dar respuesta a la Agenda Mundial en materia de salud y educación AL 2030. Conferencistas del webinar: Fernando Berríos, Coordinador de Unesco Perú, Luis Jorge Hernández Flores, Profesor Universidad de los Andes de Colombia, Fabián León Tamariz, Decano de la Facultad de Ciencias Químicas de la Universidad de Cuenca, Ecuador y José Ferrer Vicerrector de la Universidad de las Ciencias de la Salud de Venezuela.


Subject(s)
Social Determinants of Health , Peru , Venezuela , Bolivia , Chile , Colombia , Coronavirus Infections , Ecuador , COVID-19
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