Zobrazeno 1 - 10
of 123
pro vyhledávání: '"Olga Valenzuela"'
Publikováno v:
BMC Bioinformatics, Vol 24, Iss S2, Pp 1-7 (2023)
Abstract This Supplement issue, presents five research articles which are distributed, mainly due to the subject they address, from the 8th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2020), which was held on li
Externí odkaz:
https://doaj.org/article/51b7fb54efc04e6182e8899ddf9f4f87
Publikováno v:
Engineering Proceedings, Vol 39, Iss 1, p 101 (2023)
The ITISE 2023 (9th International Conference on Time Series and Forecasting) sought to provide a discussion forum for scientists, engineers, educators and students about the latest ideas and realizations in the foundations, theory, models and applica
Externí odkaz:
https://doaj.org/article/8406cd6bcaeb484c8f36419bb7f91385
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4594 (2023)
The diagnosis of different pathologies and stages of cancer using whole histopathology slide images (WSI) is the gold standard for determining the degree of tissue metastasis. The use of deep learning systems in the field of medical images, especiall
Externí odkaz:
https://doaj.org/article/4fe7fb0ee0ae417e9ea86463bcbbb9de
Publikováno v:
BMC Bioinformatics, Vol 21, Iss S7, Pp 1-8 (2020)
Abstract In the current supplement, we are proud to present seventeen relevant contributions from the 6th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2018), which was held during April 25-27, 2018 in Granada (Sp
Externí odkaz:
https://doaj.org/article/548fb270da7443cf93fdb45bc35c5b77
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11375 (2022)
Early diagnosis of cancer is very important as it significantly increases the chances of appropriate treatment and survival. To this end, Deep Learning models are increasingly used in the classification and segmentation of histopathological images, a
Externí odkaz:
https://doaj.org/article/c778663a4187429d8bfd7c37deb960b8
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 3048 (2022)
In this contribution, a novel methodology for multi-class classification in the field of Parkinson’s disease is proposed. The methodology is structured in two phases. In a first phase, the most relevant volumes of interest (VOI) of the brain are se
Externí odkaz:
https://doaj.org/article/f925e199ce4846cfb916810deb084593
Autor:
Daniel Castillo, Juan Manuel Galvez, Luis J Herrera, Fernando Rojas, Olga Valenzuela, Octavio Caba, Jose Prados, Ignacio Rojas
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0212127 (2019)
In more recent years, a significant increase in the number of available biological experiments has taken place due to the widespread use of massive sequencing data. Furthermore, the continuous developments in the machine learning and in the high perf
Externí odkaz:
https://doaj.org/article/3ee3061303084d4fb2a70dc94522b509
Autor:
Juan Manuel Gálvez, Daniel Castillo, Luis Javier Herrera, Belén San Román, Olga Valenzuela, Francisco Manuel Ortuño, Ignacio Rojas
Publikováno v:
PLoS ONE, Vol 13, Iss 5, p e0196836 (2018)
Most of the research studies developed applying microarray technology to the characterization of different pathological states of any disease may fail in reaching statistically significant results. This is largely due to the small repertoire of analy
Externí odkaz:
https://doaj.org/article/eb144e0906f646b3920cccf66985786f
Publikováno v:
Proceedings, Vol 2, Iss 19, p 513 (2018)
Heart disease is currently one of the leading causes of death in developed countries. The electrocardiogram is an important source of information for identifying these conditions, therefore, becomes necessary to seek an advanced system of diagnosis b
Externí odkaz:
https://doaj.org/article/537f118455314e3689bf7a4c31f0a317
Publikováno v:
Sensors, Vol 17, Iss 7, p 1502 (2017)
The present work analyses the wireless sensor network protocol (DARP) and the impact of different configuration parameter sets on its performance. Different scenarios have been considered, in order to gain a better understanding of the influence of t
Externí odkaz:
https://doaj.org/article/317e8206b51741b485797fe31c76664c