This paper focuses on the representation of magnetic resonances of different parts of the human body, such as knees, spinal column, arms, elbows, etc., using ontologies. First, it maps the resonance images in a multimedia database. Then, automatically, using the SIFT pattern recognition algorithm, descriptors of the images stored in the database are extracted in order to recover useful data for the user; it uses the ontologies as an artificial intelligence tool and, in consequence, reduces generation of useless data. Why do we think this is an interesting task? Because, if the user requires information about any topics or (s)he has some illness or needs to undergo magnetic resonance, this tool will show him/her images and text to convey a better understanding, helping to obtain useful conclusions.
Artificial intelligence techniques are used, such as machine learning, knowledge representation, and pattern recognition.
The ontological relations introduced here are based on the common representation of language, using definition dictionaries, Roget’s thesaurus, synonym dictionaries, and other resources The system generates an output in the OM ontological language. This language represents a structure where our system adds the data scanned by the SIFT algorithm.
The tests have been made in Spanish; however, thanks to the portability of our system, it is possible to extend the method to any language.
Keywords— Artificial Intelligence, Ontology, Multimedia Database, Pattern Recognition, Magnetic Resonance.
Full text: click here.
Reference: J. Reynoso, A. Cuevas, F.
Garcia and A. Guzmán (2015) Automatic Mapping Magnetic Resonance Images into Multimedia
Database using SIFT. IEEE Latin
America Transactions Vol.13 No. 8, 2709-2714
My articles and publications --(full text, click here. You may be asked to sign up --it is free) --Mis publicaciones (texto completo: http://ipn.academia.edu/AdolfoGuzman Quizá le pida suscribirse --es gratis) Mi página Web -- (click here) -- My Web page (http://alum.mit.edu/www/aguzman). ALGUNOS VIDEOS SOBRE LO QUE HAGO. Conferencia 'Ciudad inteligente, con conectividad y tecnología' (oct. 2010), parte 1 (15min), parte 2 (8min), parte 3 (9min), parte 4 (2min). Entrevista por redCudiMéxico, 2012: aquí (11 min). Avances en Inteligencia Artificial, entrevista en la Univ. IBERO, Puebla, 2013. Pulse aquí (53min). Video in the series "Personalities in the history of ESIME" (for the 100 years anniversary of ESIME-IPN, in Spanish) about Adolfo Guzman": 2014, click here. (1h)
My URL in Google Scholar: http://scholar.google.com/citations?user=Nw5lSdEAAAAJ My ORCID number 0000-0002-8236-0469. Scopus Author ID 6602302516.
Follow me on Academia.edu
Entrevista "La visión de los egresados del IPN, a 80 años de la creación del IPN y 100 años de la creación de la ESIME, 2014: ver en youtube (1h). Seminario sobre "Big Data" (la Ciencia de Datos). 2014. Pulse aquí (56min). Seminar on "Big Data", in English, 2014. Click here (56min). Algunos trabajos sobre Minería de Datos y sus Aplicaciones (CIC-IPN, 2016): pulse aquí (5min). El auge y el ocaso de las máquinas de Lisp (Plática en la Reunión Anual 2016 de la Academia Mexicana de Computación): pulse aquí (56min). Entrevista sobre la funcionalidad y competitividad de Hotware 10: 2016, aquí (6 min). Adolfo Guzmán Arenas, Ingeniero Electrónico e investigador del Centro de Investigación en Computación del IPN, conversó sobre su trayectoria y la importancia de las ciencias aplicadas para el desarrollo del país. 2017, Canal 11, Noticias TV (30min). Cómo se construyó la primera computadora en el mundo de procesamiento paralelo con Lisp. Marzo 2018. https://www.youtube.com/watch?v=dzyZGDhxwrU (12 min). Charla "Historias de éxito en la computación mexicana", ciclo Códice IA. Entrevista a A. Guzmán, "Entre la vida y la academia": https://bit.ly/3sIOQBc (45 min). El CIC cumple 25 años. Pulse aquí (51min. Habla Adolfo: "Pasado y futuro del CIC": minutos 13.57 a 22.70 ).
Perfil en ResearchGate -- My URL in Google Scholar: http://scholar.google.com/citations?user=Nw5lSdEAAAAJ My ORCID number 0000-0002-8236-0469. Scopus Author ID 6602302516.Follow me on Academia.edu
No hay comentarios:
Publicar un comentario