Convolutional neural network deep learning model accurately detects rectal cancer in endoanal ultrasounds.
Journal:
Techniques in coloproctology
Published Date:
Apr 1, 2024
Abstract
BACKGROUND: Imaging is vital for assessing rectal cancer, with endoanal ultrasound (EAUS) being highly accurate in large tertiary medical centers. However, EAUS accuracy drops outside such settings, possibly due to varied examiner experience and fewer examinations. This underscores the need for an AI-based system to enhance accuracy in non-specialized centers. This study aimed to develop and validate deep learning (DL) models to differentiate rectal cancer in standard EAUS images.