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A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer.

, , , , , and . AMIA, AMIA, (2015)

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Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering., , , , and . ICRA, page 10052-10058. IEEE, (2020)Image Co-Saliency Detection and Instance Co-Segmentation Using Attention Graph Clustering Based Graph Convolutional Network., , , , , and . IEEE Trans. Multim., (2022)Research and Analysis of Vulnerabilities in Intelligent Connected Vehicle Components., , , , , and . DSIT, page 255-264. IEEE, (2023)Explainable Hierarchical Semantic Convolutional Neural Network for Lung Cancer Diagnosis., , , , and . CVPR Workshops, page 63-66. Computer Vision Foundation / IEEE, (2019)Characterizing Pulmonary Nodules using Machine and Deep Learning Methods to Improve Lung Cancer Diagnosis.. University of California, Los Angeles, USA, (2018)base-search.net (ftcdlib:qt3f8976h5).An automated lung segmentation approach using bidirectional chain codes to improve nodule detection accuracy., , , and . Comput. Biol. Medicine, (2015)Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection., , , , , and . CVPR, page 9047-9056. Computer Vision Foundation / IEEE, (2020)A Continuous Markov Model Approach Using Individual Patient Data to Estimate Mean Sojourn Time of Lung Cancer., , , , , and . AMIA, AMIA, (2015)A Survey of Binary Code Security Analysis., , , , , and . DSIT, page 42-49. IEEE, (2023)A Technique for Lung Nodule Candidate Detection in CT Using Global Minimization Methods., , , , , , , and . EMMCVPR, volume 8932 of Lecture Notes in Computer Science, page 478-491. Springer, (2014)