Pattern recognition in photoacoustic dataset

AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:34:24Z
Fecha de publicación2013-01-01
ResumenIn photoacoustic imaging, optical absorption properties of matter are imaged by detecting the ultrasound that is produced when the material is illuminated by a laser. For medical imaging, photoacoustics is a useful tool since matter in the human body has different optical absorption properties. In this study, pattern recognition systems are used to study a set of medical images for tumor identification and extraction - to detect the specific area in which the tumor is present. The objective is to incorporate this information into real-time image acquisition systems to improve medical diagnosis. Preliminary results obtained by studying the image dataset demonstrated the interchangeability of the proposed system. A system of automatic classification was constructed, using a set of images with and without cancerous tumors to evaluate the proposed method. The training set used wasmanually labeled, and the test set was never seen by the training set. The results helped us determine the feasibility of the proposed system.es_ES
Doihttps://doi.org/10.1007/s10765-013-1452-9es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/6183
Idiomaenes_ES
EditorialSpringer Science and Business Media, LLCes_ES
RelaciónInternational Journal of Thermophysicses_ES
URL relacionadohttps://doi.org/10.1007/s10765-013-1452-9es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteInternational Journal of Thermophysics
Palabra clavePattern recognitiones_ES
Palabra clavePhotoacoustices_ES
Palabra claveTumores_ES
TítuloPattern recognition in photoacoustic datasetes_ES
TipoArtículoes_ES
ArbitradoHa sido Arbitradoes_ES
AutorGuzmán-Cabrera, R.
AutorGuzmán-Sepúlveda, J.R.
AutorTorres-Cisneros, M.
AutorMay-Arrioja, D.A.
AutorRuiz-Pinales, J.
AutorIbarra-Manzano, O.G.
AutorAviña-Cervantes, G.
AutorGuzmán-Cabrera, R.es_ES
AutorGuzmán-Sepúlveda, J.R.es_ES
AutorTorres-Cisneros, M.es_ES
AutorMay-Arrioja, D.A.es_ES
AutorRuiz-Pinales, J.es_ES
AutorIbarra-Manzano, O.G.es_ES
AutorAviña-Cervantes, G.es_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Número8-9es_ES
Rango de páginas1638-1645es_ES
URL relacionadahttps://doi.org/10.1007/s10765-013-1452-9
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen34es_ES

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