Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Said Pertuz"'
Autor:
Said Pertuz, David Ortega, Érika Suarez, William Cancino, Gerson Africano, Irina Rinta-Kiikka, Otso Arponen, Sara Paris, Alfonso Lozano
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract The analysis of mammograms using artificial intelligence (AI) has shown great potential for assisting breast cancer screening. We use saliency maps to study the role of breast lesions in the decision-making process of AI systems for breast c
Externí odkaz:
https://doaj.org/article/3b364448acc74f93abe66110993bed96
Publikováno v:
TecnoLógicas, Vol 23, Iss 48, Pp 143-161 (2020)
Classical image segmentation algorithms exploit the detection of similarities and discontinuities of different visual cues to define and differentiate multiple regions of interest in images. However, due to the high variability and uncertainty of ima
Externí odkaz:
https://doaj.org/article/a5266ae56fe04fb5892ced8822c21008
Publikováno v:
Medical Physics.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f9208ab83be990cb634c994d231d53a
https://doi.org/10.1002/mp.16401
https://doi.org/10.1002/mp.16401
Publikováno v:
2022 IEEE Learning with MOOCS (LWMOOCS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14e6e01d56be1f69c7d777e61b7f7fc
https://doi.org/10.1109/lwmoocs53067.2022.9927915
https://doi.org/10.1109/lwmoocs53067.2022.9927915
Publikováno v:
2022 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c14f7f5c576758492d1a66dc825e535c
https://doi.org/10.1109/colcaci56938.2022.9905248
https://doi.org/10.1109/colcaci56938.2022.9905248
Autor:
Said Pertuz
Publikováno v:
Revista Ingenierías Universidad de Medellín, Volume: 20, Issue: 39, Pages: 231-250, Published: 28 JUN 2022
Resumen Este documento reporta los resultados de un estudio de la percepción de los estudiantes sobre la enseñanza remota mediante el método de aula invertida en comparación con dos estrategias de enseñanza-aprendizaje presencial: cátedra clás
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3c72708e8a02b761121be1b993c7926
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242021000200231&lng=en&tlng=en
http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S1692-33242021000200231&lng=en&tlng=en
Publikováno v:
Pattern Analysis and Applications. 24:445-457
Oculomotor alterations are a promising biomarker to detect and characterize Parkinson’s disease (PD), even in prodromal stages. Nowadays, however, only global and simplified gaze trajectories are used to approximate the complex interactions between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::70c6b850f07649b075ae7ec7f51c86de
https://doi.org/10.1007/s10044-020-00922-4
https://doi.org/10.1007/s10044-020-00922-4
Publikováno v:
TecnoLógicas, Vol 23, Iss 48, Pp 143-161 (2020)
TecnoLógicas, Volume: 23, Issue: 48, Pages: 140-158, Published: AUG 2020
TecnoLógicas, Volume: 23, Issue: 48, Pages: 140-158, Published: AUG 2020
Classical image segmentation algorithms exploit the detection of similarities and discontinuities of different visual cues to define and differentiate multiple regions of interest in images. However, due to the high variability and uncertainty of ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::384388279c6e453ca10a783d5d792879
https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1538
https://revistas.itm.edu.co/index.php/tecnologicas/article/view/1538
Publikováno v:
Medical Image Understanding and Analysis ISBN: 9783031120527
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52237751a216b075f51220599c262ff6
https://doi.org/10.1007/978-3-031-12053-4_59
https://doi.org/10.1007/978-3-031-12053-4_59
Publikováno v:
Medical physicsREFERENCES. 49(2)
PURPOSE Research on breast cancer risk assessment aims to develop models that predict the likelihood of breast cancer. In recent years, the computerized analysis of visual texture patterns in mammograms, namely parenchymal analysis, has shown great p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a89271a07617eafd83c4278c7cbf33db
https://pubmed.ncbi.nlm.nih.gov/34837254
https://pubmed.ncbi.nlm.nih.gov/34837254