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학술대회 The GGO Lesions Detected by Computer-Aided Detection System on Chest MDCT Images
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저자
이정원, 정지욱, 이수열, 유돈식, 김승환
발행일
200608
출처
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS) 2006, pp.1983-1985
DOI
https://dx.doi.org/10.1109/IEMBS.2006.260234
협약과제
06MH1700, 생체정보 처리기반 웨어러블 시스템 기술 개발, 이전우
초록
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. © 2006 IEEE.
KSP 제안 키워드
CAD system, Computed tomography (CT) images, Computer-aided Detection(CADe), Computer-aided detection system, Detection of pulmonary nodules, Early Detection, Early stages, Intrusion detection system(IDS), Isolation technique, Lung cancer, Pulmonary nodule detection