Computer-aided diagnosis in lung nodule assessment.

摘要: Computed tomography (CT) imaging is playing an increasingly important role in cancer detection, diagnosis, and lesion characterization, it the most sensitive test for lung nodule detection. Interpretation of nodules involves characterization integration clinical other information. Advances management using CT require optimization data acquisition, postprocessing tools, computer-aided diagnosis (CAD). The goal CAD systems being developed to both assist radiologists more detection noninvasively differentiate benign from malignant lesions; latter given that lesions account between 1% 11% pulmonary nodules. aim this review summarize current state art regarding techniques solitary their potential applications workup these lesions.