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CAD in clinical trials: Current role and architectural requirements., , , , , , , and . Comput. Medical Imaging Graph., 31 (4-5): 332-337 (2007)Multiscale shape features for classification of bronchovascular anatomy in CT using AdaBoost., , , , , , , , and . Medical Imaging: Image Processing, volume 6512 of SPIE Proceedings, page 65120T. SPIE, (2007)Catheter detection and classification on chest radiographs: an automated prototype computer-aided detection (CAD) system for radiologists., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 7963 of SPIE Proceedings, page 796333. SPIE, (2011)Typed Self-Applicable Meta-Programming.. University of California, Los Angeles, USA, (2017)AI-human interactive pipeline with feedback to accelerate medical image annotation., , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Examining the Effects of Race on Human-AI Cooperation., , and . SBP-BRiMS, volume 12720 of Lecture Notes in Computer Science, page 279-288. Springer, (2021)An extensible knowledge-based architecture for segmenting computed tomography images., , , and . ICIP (3), page 516-519. IEEE Computer Society, (1997)Computer-aided lung nodule diagnosis using a simple classifier., , , , , , , and . CARS, volume 1268 of International Congress Series, page 952-955. Elsevier, (2004)Improving semi-automated segmentation by integrating learning with active sampling., , and . Medical Imaging: Image Processing, volume 8314 of SPIE Proceedings, page 83142M. SPIE, (2012)Towards quantitative imaging: stability of fully-automated nodule segmentation across varied dose levels and reconstruction parameters in a low-dose CT screening patient cohort., , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10575 of SPIE Proceedings, page 105751L. SPIE, (2018)