dc.contributor.author | Assis, Wânderson de Oliveira | |
dc.contributor.author | Coelho, Alessandra Dutra | |
dc.contributor.author | Santos, Jonatan Marques dos | |
dc.contributor.author | Palauro, Pedro Henrique | |
dc.contributor.author | Cisneros Filho, Cesar Abraham Flores | |
dc.contributor.author | Silva, Danilo Argollo Pirutti | |
dc.contributor.author | Fioretti, Alexandre Cesar | |
dc.contributor.author | Cardelino, Bruno Oliveira | |
dc.contributor.author | Miranda, Robson Barbosa de | |
dc.date.accessioned | 2024-10-11T16:24:42Z | |
dc.date.available | 2024-10-11T16:24:42Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Int. Conf. Technol., Learn. Teach. Electron., TAEE - Proc. | |
dc.identifier.isbn | 978-166542161-4 | |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137118001&doi=10.1109%2fTAEE54169.2022.9840688&partnerID=40&md5=74370f4555612aa6896cb27b69816c41 | |
dc.identifier.uri | https://repositorio.maua.br/handle/MAUA/726 | |
dc.description.abstract | This work presents a case study in the field of medicine employing digital image processing and artificial intelligence techniques based on artificial neural networks. The application consists on the development of a software for the treatment of images captured in vascular ultrasound exams with color Doppler in order to diagnose carotid percentage occlusion (carotid stenosis). The developed application can be used as a tool for engineering education, allowing the use and evaluation of several image processing techniques in engineering, such as character recognition, color identification, filtering and contour detection, among other techniques. Additionally, it allows the integration of neural network concepts for data processing. © 2022 IEEE. | en |
dc.language | Inglês | pt_BR |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en |
dc.relation.ispartof | 15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 - Proceedings | |
dc.relation.haspart | 15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 | |
dc.rights | Acesso Restrito | |
dc.source | Scopus | en |
dc.subject | doppler vascular ultrasonography | en |
dc.subject | engineering education | en |
dc.subject | Image processing | en |
dc.subject | neural networks | en |
dc.subject | Application programs | en |
dc.subject | Character recognition | en |
dc.subject | Data handling | en |
dc.subject | Engineering education | en |
dc.subject | Image processing | en |
dc.subject | Ultrasonic applications | en |
dc.subject | Artificial intelligence techniques | en |
dc.subject | Carotid stenosis | en |
dc.subject | Case-studies | en |
dc.subject | Color Doppler | en |
dc.subject | Developed applications | en |
dc.subject | Dopple vascular ultrasonography | en |
dc.subject | Doppler | en |
dc.subject | Images processing | en |
dc.subject | Neural-networks | en |
dc.subject | Vascular ultrasound | en |
dc.subject | Neural networks | en |
dc.title | Teaching image processing and artificial neural networks in engineering - A case study in medicine | en |
dc.type | Trabalho apresentado em evento | pt_BR |
dc.identifier.doi | 10.1109/TAEE54169.2022.9840688 | |
dc.description.affiliation | Instituto Mauá de Tecnologia, Electronics Engineering, São Caetano do Sul, Sp, Brazil | |
dc.description.affiliation | Vascular Surgery and Sonography, Faculdade de Medicina Do Abc, Santo André, SP, Brazil | |
dc.description.affiliation | Vascular Surgery, Faculdade de Medicina Do Abc, Santo André, SP, Brazil | |
dc.description.affiliation | Vascular Surgery and Sonography, Faculdade de Ciências Médicas da Santa Casa de S. P., São Paulo, SP, Brazil | |
dc.identifier.scopus | 2-s2.0-85137118001 | pt_BR |