A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning

Lung cancer screening with low dose computed tomography (CT) was shown to reduce lung cancer mortality by 20% (Siegel et  al., 2017). Yet, human error remains a significant problem to detect abnormalities. For instance, Missing a tumor (recognition error) and misdiagnosing (decision making error) are called perceptual errors (Kundel et al., 1978). It’s reported that 35% of lung nodules are typically missed during the screening process (Caroline, 2014). Over-diagnosis is another significant bias leading to unnecessary treatment which can cause harm and unnecessary medical expenses.

Source: Medical Image Analysis - October 27, 2018 Category: Radiology Authors: Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth C. Jones, Bradford Wood, Ulas Bagci Source Type: research