This paper presents a method to characterize the internal structure of small pulmonary nodules through curvature-based descriptor using thin-section CT images.
We have been developing a computer-aided diagnostic (CAD) scheme for lung nodule detection in order to assist radiologists in the detection of lung cancer.
We have been developing a quantitative analysis system of small pulmonary nodules based on thin-section CT images. In a previous paper'3 we introduced 3D ...
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We have developed a CAD scheme for nodule detection in thin-section CT images that uses two key techniques: a multiscale, selective nodule enhancement filter ...
Our results indicate that CAD can benefit radiologists in characterizing lung nodules on CT images. The improvement was modest, though significant.
An automated CAD system was developed to characterize and provide malignancy ratings for lung nodules on CT volumetric images. An observer study was conducted ...
Our objective was to evaluate the performance of a computer-aided detection (CAD) system for pulmonary nodule detection using low-dose screening CT images.
Jun 11, 2009 · The purpose of this work is to develop a computer-aided diagnosis (CAD) system to differentiate malignant and benign lung nodules on CT ...
This article describes the fundamental tools and issues involved in computer-aided nodule detection and characterization.
Sep 18, 2023 · The combination of diagnostic thin-slice CT and CAD significantly increases the detection rate of lung nodules in tumor patients compared to the standard PET/ ...