DIGITAL IMAGES CLASSIFICATION IN AUTOMATIC LAPAROSCOPIC DIAGNOSTICS.

Objective: The aim: To evaluate the automatic computer diagnostic (ACD) systems, which were developed, based on two classifiers-HAAR features cascade and AdaBoost for the laparoscopic diagnostics of appendicitis and ovarian cysts in women with chronic pelvic pain.

Patients And Methods: Materials and methods: The training of HAAR features cascade, and AdaBoost classifiers were performed with images/ frames of laparoscopic diagnostics. Both gamma-corrected RGB and RGB converted into HSV frames were used for training.