Determining Thresholds for Computer-Aided Detection for Silicosis-An Analytic Approach.

ABSTRACT:

Background

Computer-aided detection (CAD) is emerging as an adjunct to the use of the chest X-ray (CXR) in screening for pulmonary tuberculosis (TB). CAD for silicosis, a fibrotic lung disease due to silica dust and a strong risk factor for TB, is at an earlier stage of development and, unlike TB, depends on expert human reading for validation. For all CAD systems, an important step is the choice of threshold for classifying images as positive or negative for the disease in question. The objective of this article is to present an analytic approach to the choice of threshold in using CAD systems for silicosis.

Methods

Drawing on receiver operating curve data from a published study on agreement between CAD and two expert readings of silicosis, two criteria for choosing the sen

SUBMITTER: Barker S 

PROVIDER: S-EPMC11982418 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature