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Automatic Segmentation of Lung Regions in Chest Radiographs: A Model Guided Approach.

, , and . ICIP, page 483-486. IEEE, (2000)

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VENUS: A System for Novelty Detection in Video Streams with Learning., , , and . FLAIRS, page 232-238. AAAI Press, (2004)Detection of inconsistent regions in video streams., , , , and . Human Vision and Electronic Imaging, volume 5292 of SPIE Proceedings, page 202-210. SPIE, (2004)Improvement of detection accuracy in digital mammography with a pruned neural net optimized from heuristic decision rules., , and . ICNN, page 757-761. IEEE, (1996)Automatic Segmentation of Lung Regions in Chest Radiographs: A Model Guided Approach., , and . ICIP, page 483-486. IEEE, (2000)Biologically Inspired Object Categorization in Cluttered Scenes., , and . AIPR, page 117-122. IEEE Computer Society, (2007)Clustering approach to bone and soft tissue segmentation of digital radiographic images of extremities., , , , and . J. Electronic Imaging, 12 (1): 40-49 (2003)Application of neural-network-based multistage system for detection of microcalcification clusters in mammogram images., , and . Medical Imaging: Image Processing, volume 2710 of SPIE Proceedings, SPIE, (1996)Robust Snake Model., , , and . CVPR, page 1452-1457. IEEE Computer Society, (2000)Segmentation of bone and soft tissue regions in digital radiographic images of extremities., , , , and . Medical Imaging: Image Processing, volume 4322 of SPIE Proceedings, SPIE, (2001)Knowledge-based method for fully automatic contour detection in radiographs., , , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)