Evaluation of healthy and infected cervical tissue using a LIFS system and a back-propagation neural network.

Laser Induced Fluorescence Spectroscopy (LIFS) is a technique that has been recently used to detect in vivo or in vitro cancer. The LIFS system has been used to analyze cervical tissue samples for histological evaluation. Because the fluorescence spectra are position and inter-probe dependent (albei...

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Publicado en:Revista Mexicana de Ingeniería Biomédica Vol. 27; no. 2; pp. 68 - 74
Autores principales: Aparicio Castillo, A., De La Rosa Vázquez, J. M., Calva Chavarría, P. A., Franco López, E. B., Torres Manzo, R., Álvarez Dorantes, R., De La Rosa Gutiérrez G., G., Romero Guadarrama, M. B.
Formato: Artículo
Publicado: Sociedad Mexicana de Ingenieria Biomedica, A.C. sep2006
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Evaluation of healthy and infected cervical tissue using a LIFS system and a back-propagation neural network.
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        au:
          Aparicio Castillo, A.
          De La Rosa Vázquez, J. M.
          Calva Chavarría, P. A.
          Franco López, E. B.
          Torres Manzo, R.
          Álvarez Dorantes, R.
          De La Rosa Gutiérrez G., G.
          Romero Guadarrama, M. B.
        affil:
          Sección de Estudios de Postgrado e Investigación ESIMEZ-IPN, México D.F.
          Escuela Superior de Medicina IPN, México D.F.
          Unidad de Patología del Hospital General de México, Facultad de Medicina-UNAM, Cd. Universitaria, México, D.F.
      su:
        Cancer diagnosis
        Fluorescence spectroscopy
        Cervical cancer
        Back propagation
        Artificial neural networks
      sug:
        subj:
          Cancer diagnosis
          Fluorescence spectroscopy
          Cervical cancer
          Back propagation
          Artificial neural networks
      keyword:
        Cervical cancer and neural network
        Laser induced fluorescence
        cáncer cervicouterino y redes neuronales.
        Fluorescencia inducida con luz láser
      ab:
        Laser Induced Fluorescence Spectroscopy (LIFS) is a technique that has been recently used to detect in vivo or in vitro cancer. The LIFS system has been used to analyze cervical tissue samples for histological evaluation. Because the fluorescence spectra are position and inter-probe dependent (albeit they were equally classified by histological evaluation) the relationship that exists in the data is complex. So, a back-propagation Artificial Neural Network is used to detect the relationships contained within them. The validation of the system was done with 5 different proves and a 100% classification coincidence between the neural network classification and a normal histological one was obtained. The LIFS-System works with a N laser of 5 µJ pulse energy (t = 3.8 ns at 337.1 nm wavelength) and spectra from 350 to 650 nm were processed and evaluated in a PC.
        La espectroscopia de inducción de fluorescencia con láser (LIFS) es una técnica recientemente usada para detectar cáncer in vivo o in vitro. En este trabajo se usa esta técnica para analizar y diagnosticar muestras de tejido cervical preparadas para su evaluación histológica. Debido a que los espectros de fluorescencia son muestra a muestra y punto a punto diferentes (a pesar de ser clasificados como iguales por medio de su evaluación histológica) no resulta simple determinar las relaciones básicas de los datos medidos. Por lo cual se usa una red neuronal artificial del tipo "back-propagation" para detectar estas relaciones. La validación del sistema se realizó con 5 diferentes muestras y se obtuvo una coincidencia del 100% entre la clasificación realizada por ésta y la realizada por el proceso histológico normal. El sistema LIFS trabaja con pulsos de 5 µJ (t = 3.8ns a 227.1nm) provenientes de un láser de N y los espectros de 350 a 650 nm fueron procesados y evaluados en una computadora personal.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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