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Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer
Affiliation:1. Departments of Radiology and Medicine, McMaster University, 1200 Main St.W., Hamilton, ON L8N 3Z5, Canada;2. School of Biomedical Engineering, McMaster University, 1280 Main St. W., Hamilton, ON L8S 4K1 Canada;3. Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, 10 King’s College Rd., Toronto, ON M5S 3G8, Canada;4. Department of Electrical and Computer Engineering, University of Waterloo, 200 University Ave.W., Waterloo, ON N2L 3G1, Canada;5. PET Functional Imaging, BC Cancer, 600W. 10th Ave., Vancouver, V5Z 4E6, Canada;6. Division of Engineering Science, University of Toronto, 40 St. George St., Toronto, ON M5S 2E4, Canada;7. Department of Radiology, University of British Columbia, 2775 Laurel St., 11th floor, Vancouver, BC V5Z 1M9, Canada;8. Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02492, USA
Abstract:
Keywords:Lung cancer  Positron emission tomography  Pulmonary nodule  Cancer diagnosis  Targeted therapy  Artificial intelligence
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