title: The GGO lesions detected by computer-aided detection system on chest MDCT images.
abstract: The detection of abnormal lesions in the early stages of lung cancer is important to improve survival. Computer-aided detection (CAD) system can be useful for early detection of pulmonary nodules on computed tomography (CT) images for screening. Moreover, CAD system can be 'second opinion' when a radiologist detects the pulmonary nodules on multi-slice CT images. We developed a computer-aided detection system for pulmonary nodule detection on multi-detector row computed tomography (MDCT) images. We applied the nodule isolation technique using radial distribution function and additional algorithms. In this paper, we reported the ground-glass opacity (GGO) lesions detected by self-developed computer-aided pulmonary nodule detection system.
authors.affiliation: Electron. & Telecommun. Res. Inst., Daejeon, Korea.
authors.forename: Jeong Won
authors.initials: JW
authors.lastname: Lee
authors.forename: Ji-Wook
authors.initials: JW
authors.lastname: Jeong
authors.forename: Sooyeul
authors.initials: S
authors.lastname: Lee
authors.forename: Done-Sik
authors.initials: DS
authors.lastname: Yoo
authors.forename: Seunghwan
authors.initials: S
authors.lastname: Kim
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D008175:Lung Neoplasms / Q000000981:diagnostic imaging; D010363:Pattern Recognition, Automated / Q000379:methods*; D011856:Radiographic Image Enhancement / Q000379:methods*; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D003074:Solitary Pulmonary Nodule / Q000000981:diagnostic imaging*; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods*