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Reinforced learning from serial CT to improve the early diagnosis of lung cancer in screening.

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Variabilities in Reference Standard by Radiologists and Performance Assessment in Detection of Pulmonary Embolism in CT Pulmonary Angiography., , , , , , , and . J. Digit. Imaging, 32 (6): 1089-1096 (2019)The Lung Image Database Consortium (LIDC): pulmonary nodule measurements, the variation, and the difference between different size metrics., , , , , , , , , and 6 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65140J. SPIE, (2007)The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation., , , , , , , , , and 11 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 65140K. SPIE, (2007)The Lung Image Database Consortium (LIDC): a quality assurance model for the collection of expert-defined truth in lung-nodule-based image analysis studies., , , , , , , , , and 5 other author(s). Medical Imaging: Computer-Aided Diagnosis, volume 6514 of SPIE Proceedings, page 651429. SPIE, (2007)Convolutional Neural Network Based COPD and Emphysema Classifications Are Predictive of Lung Cancer Diagnosis., , , , , and . RAMBO+BIA+TIA@MICCAI, volume 11040 of Lecture Notes in Computer Science, page 302-309. Springer, (2018)Hybrid deep-learning model for volume segmentation of lung nodules in CT images., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11314 of SPIE Proceedings, SPIE, (2020)Computer-aided diagnosis of radiographic patterns of lung disease via MDCT images., , , , and . Int. J. Comput. Sci. Eng., 5 (3/4): 254-261 (2010)Reinforced learning from serial CT to improve the early diagnosis of lung cancer in screening., , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 11597 of SPIE Proceedings, SPIE, (2021)