Precise pulmonary scanning and reducing medical radiation exposure by developing a clinically applicable intelligent CT system: Toward improving patient care
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Yaozong Gao | Cheng Li | Wei Hu | Yang Wang | Kun Wang | Xiaolin Meng | Fangrong Yan | Guangming Lu | Xiaofan Lu | Yingwei Zhang | Xin Zhang | Jiani Liu | Xin Li | Renfang Hu | Shidan Dou | Huayin Hao | Xiaofen Zhao | Zhishun Wang | Bing Zhang | Zhishun Wang | Guangming Lu | Yang Wang | Fangrong Yan | Xiaolin Meng | Kun Wang | Xiaofan Lu | Bing Zhang | Yingwei Zhang | Xin Zhang | Yaozong Gao | Jiani Liu | Xin Li | Xiaofen Zhao | Wei Hu | Cheng Li | Shidan Dou | Renfang Hu | Huayin Hao
[1] Lee W Goldman,et al. Principles of CT: Radiation Dose and Image Quality* , 2007, Journal of Nuclear Medicine Technology.
[2] A Kahn,et al. Interstitial lung disease. , 1982, The Journal of the Arkansas Medical Society.
[3] A Bush. Interstitial lung disease guideline. , 2009, Thorax.
[4] Jiang Hsieh,et al. Computed Tomography: Principles, Design, Artifacts, and Recent Advances, Fourth Edition , 2022 .
[5] Trevor Darrell,et al. Fully Convolutional Networks for Semantic Segmentation , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Fei Wang,et al. Deep Learning in Medicine-Promise, Progress, and Challenges. , 2019, JAMA internal medicine.
[7] C. Gatsonis,et al. Reduced Lung-Cancer Mortality with Low-Dose Computed Tomographic Screening , 2012 .
[8] Ronald M. Summers,et al. Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique , 2016 .
[9] J. Rathmell,et al. Results of the two incidence screenings in the National Lung Screening Trial. , 2013, The New England journal of medicine.
[10] Michael M Maher,et al. Computed tomography and patient risk: Facts, perceptions and uncertainties , 2016, World journal of radiology.
[11] Cynthia H McCollough,et al. Estimating effective dose for CT using dose-length product compared with using organ doses: consequences of adopting International Commission on Radiological Protection publication 103 or dual-energy scanning. , 2010, AJR. American journal of roentgenology.
[12] Xin Sun,et al. Evaluation and accurate diagnoses of pediatric diseases using artificial intelligence , 2019, Nature Medicine.
[13] Inkyung Jung,et al. Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers’ Health Examination Data , 2019, International journal of environmental research and public health.
[14] D. Brenner,et al. Computed tomography--an increasing source of radiation exposure. , 2007, The New England journal of medicine.
[15] Mannudeep K Kalra,et al. CT Radiation: Key Concepts for Gentle and Wise Use. , 2015, Radiographics : a review publication of the Radiological Society of North America, Inc.
[16] Zhao Qing,et al. IILS: Intelligent imaging layout system for automatic imaging report standardization and intra-interdisciplinary clinical workflow optimization , 2019, EBioMedicine.
[17] Nasir M. Rajpoot,et al. Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images , 2016, IEEE Trans. Medical Imaging.
[18] M. Kalra,et al. Strategies for CT radiation dose optimization. , 2004, Radiology.
[19] T. Wong,et al. AI for medical imaging goes deep , 2018, Nature Medicine.
[20] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Raymond Y Huang,et al. Artificial intelligence in cancer imaging: Clinical challenges and applications , 2019, CA: a cancer journal for clinicians.
[22] Zhengyou Zhang,et al. A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..
[23] P. Lakhani,et al. Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks. , 2017, Radiology.
[24] Konstantinos Kamnitsas,et al. Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation , 2016, Medical Image Anal..
[25] Bram van Ginneken,et al. A survey on deep learning in medical image analysis , 2017, Medical Image Anal..