Computer vision techniques for breast tumor ultrasound analysis.
In this paper, we present a new approach to the segmentation and analysis of solid breast nodules in ultrasonography. We have applied computer vision techniques to segment the nodules and analyze a series of diagnostic criteria which can help discriminate malignant and benignant tumors. The segmentation is carried out in a semiautomatic way, whereas the analysis of the diagnostic criteria involves several computational methods. The techniques which we propose have provided quite satisfactory results and show the usefulness of image processing in the diagnosis through medical imaging.
Alemán-Flores
Miguel
M
Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Las Palmas, Spain.
Alemán-Flores
Patricia
P
Alvarez-León
Luis
L
Fuentes-Pavón
Rafael
R
Santana-Montesdeoca
José M
JM
D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis / Q000000981:diagnostic imaging*; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009367:Neoplasm Staging; D015588:Observer Variation; D010363:Pattern Recognition, Automated; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016217:Ultrasonography, Mammary / Q000379:methods*