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FUZZY AND NEURAL NETWORKS TO OPTIMIZE DENOISING IN BREAST CANCER RAMAN SPECTRA

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JANUARY 2023   -  Volume: 98 -  Pages: 13

DOI:

https://doi.org/10.6036/10727

Authors:

REINIER CABRERA CABAÑAS
-
FRANCISCO LUNA ROSAS
-
JULIO CESAR MARTINEZ ROMO
-
CLAUDIO FRAUSTRO REYES
-
MARCO ANTONIO HERNANDEZ VARGAS
-
RICARDO MENDOZA GONZALEZ

Disciplines:

  • Optics (ESPECTROSCOPIA )

Downloads:   186

How to cite this paper:  
Download pdf

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Key words:
ANFIS, Breast Cancer, Raman Spectroscopy, Automatic Detection, Cáncer de mama, espectroscopía Raman, detección automática.
Article type:
NOTA TECNICA / TECHNICAL NOTE
Section:
TECHNICAL NOTE

Cancer is one of the most notable causes of death worldwide, especially breast cancer is considered the most common in people of both sexes. Early detection of the tumor has become a challenge for researchers in the field.

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