Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Mauricio Alberto Ortega-Ruiz"'
Autor:
Mauricio Alberto Ortega-Ruiz, Cefa Karabag, Edgar Roman-Rangel, Constantino Carlos Reyes-Aldasoro
Publikováno v:
IEEE Access, Vol 12, Pp 40412-40424 (2024)
Staining of histological slides with Hematoxylin and Eosin is widely used in clinical and laboratory settings as these dyes reveal nuclear structures as well as cytoplasm and collagen. For cancer diagnosis, these slides are used to recognize tissues
Externí odkaz:
https://doaj.org/article/bc26758e0d1f4343bbdb9d93afedcbab
Autor:
Mauricio Alberto Ortega-Ruiz, Cefa Karabağ, Victor García Garduño, Constantino Carlos Reyes-Aldasoro
Publikováno v:
Journal of Imaging, Vol 6, Iss 10, p 101 (2020)
This paper describes a methodology that extracts key morphological features from histological breast cancer images in order to automatically assess Tumour Cellularity (TC) in Neo-Adjuvant treatment (NAT) patients. The response to NAT gives informatio
Externí odkaz:
https://doaj.org/article/c0bcd4bbf7c94c589617fc6d1f32cf94
Autor:
David Pérez Granados, Mauricio Alberto Ortega Ruiz, Joel Moreira Acosta, Sergio Arturo Gama Lara, Roberto Adrián González Domínguez, Pedro Jacinto Páramo Kañetas
Publikováno v:
Energies
Volume 16
Issue 5
Pages: 2290
Volume 16
Issue 5
Pages: 2290
Wind energy is one of the most relevant clean energies today, so wind turbines must have good health and be reliable in operation. Current wind turbines have slender and elastic structures that can be easily damaged through vibrations and compromise
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2daed89777767219a54c8535f39e3b17
Multiclass Semantic Segmentation of Immunostained Breast Cancer Tissue with a Deep-Learning Approach
This paper describes a multiclass semantic segmentation of breast cancer images into the following classes: Tumour, Stroma, Inflammatory, Necrosis and Other. The images were stained with Haematoxilin and Eosin and acquired from the Cancer Genome Atla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c7a121ca8a321360f68584c9d9fdcd8
https://doi.org/10.1101/2022.08.17.22278889
https://doi.org/10.1101/2022.08.17.22278889
Autor:
Victor García Garduño, Mauricio Alberto Ortega-Ruiz, Constantino Carlos Reyes-Aldasoro, Cefa Karabağ
This paper describes a method for residual tumour cellularity (TC) estimation in Neoadjuvant treatment (NAT) of advanced breast cancer. This is determined manually by visual inspection by a radiologist, then an automated computation will contribute t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fae1360d111a32a9544da4ddc095e16a
Autor:
Constantino Carlos Reyes-Aldasoro, Cefa Karabağ, Victor García Garduño, Mauricio Alberto Ortega-Ruiz
Publikováno v:
Journal of Imaging
Volume 6
Issue 10
Journal of Imaging, Vol 6, Iss 101, p 101 (2020)
Volume 6
Issue 10
Journal of Imaging, Vol 6, Iss 101, p 101 (2020)
This paper describes a methodology that extracts key morphological features from histological breast cancer images in order to automatically assess Tumour Cellularity (TC) in Neo-Adjuvant treatment (NAT) patients. The response to NAT gives informatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::702233c1e93ce78ace550bf4239aa664
Publikováno v:
Journal of Imaging, Vol 9, Iss 3, p 59 (2023)
This paper investigates the impact of the amount of training data and the shape variability on the segmentation provided by the deep learning architecture U-Net. Further, the correctness of ground truth (GT) was also evaluated. The input data consist
Externí odkaz:
https://doaj.org/article/25ca49af64f44e14a19007ed7771f83d
Autor:
Rocío Elizabeth Duarte Ayala, David Pérez-Granados, Mauricio Alberto Ortega Ruiz, Carlos Alberto González Gutiérrez, Natalia Rojas Espinosa, David Guadarrama Gutiérrez
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 8062 (2024)
This study investigates the multifaceted phenomenon of kinesiophobia, characterized by an irrational fear of movement, particularly prevalent among individuals with chronic pain. The research delves into various factors influencing kinesiophobia, inc
Externí odkaz:
https://doaj.org/article/95c84b1b5d4540c0afe306005c482a14
Autor:
Oswaldo Mendoza Herbert, David Pérez-Granados, Mauricio Alberto Ortega Ruiz, Rodrigo Cadena Martínez, Carlos Alberto González Gutiérrez, Marco Antonio Zamora Antuñano
Publikováno v:
Sensors, Vol 24, Iss 12, p 3760 (2024)
This review explores the historical and current significance of gestures as a universal form of communication with a focus on hand gestures in virtual reality applications. It highlights the evolution of gesture detection systems from the 1990s, whic
Externí odkaz:
https://doaj.org/article/9cfa68ea28b84a3e94e25c3ced82a152