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Akademický článek

Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches.

Autor: Warkentin MT; Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada.; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada., Al-Sawaihey H; Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada., Lam S; Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.; Department of Integrative Oncology, British Columbia Cancer Research Institute, Vancouver, British Columbia, Canada., Liu G; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.; Department of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada., Diergaarde B; Department of Human Genetics, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA.; Cancer Epidemiology and Prevention Program, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA., Yuan JM; Cancer Epidemiology and Prevention Program, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.; Department of Epidemiology, University of Pittsburgh School of Public Health, Pittsburgh, Pennsylvania, USA., Wilson DO; Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Atkar-Khattra S; Department of Integrative Oncology, British Columbia Cancer Research Institute, Vancouver, British Columbia, Canada., Grant B; Department of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada., Brhane Y; Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada., Khodayari-Moez E; Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada., Murison KR; Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada., Tammemagi MC; Cancer Control and Evidence Integration, Cancer Care Ontario, Toronto, Ontario, Canada., Campbell KR; Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada.; Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada., Hung RJ; Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Ontario, Canada Rayjean.Hung@lunenfeld.ca.; Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.

Publikováno v: Thorax [Thorax] 2024 Mar 15; Vol. 79 (4), pp. 307-315. Date of Electronic Publication: 2024 Mar 15.

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Akademický článek

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement Initiative.

Autor: Lam S; Department of Integrative Oncology, The British Columbia Cancer Research Institute and Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada. Electronic address: slam2@bccancer.bc.ca., Wynes MW; International Association for the Study of Lung Cancer, Denver, Colorado., Connolly C; International Association for the Study of Lung Cancer, Denver, Colorado., Ashizawa K; Department of Clinical Oncology, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan., Atkar-Khattra S; Department of Integrative Oncology, British Columbia Cancer Research Institute, Vancouver, British Columbia, Canada., Belani CP; Department of Medicine, Penn State College of Medicine, Hershey, Pennsylvania., DiNatale D; Intellitech Innovations, Fonda, New York., Henschke CI; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York., Hochhegger B; Department of Radiology, University of Florida, Gainesville, Florida., Jacomelli C; Data Management, National Cancer Institute of Milan, Milan, Italy., Jelitto M; Radiology Department, Medical University of Gdańsk, Gdańsk, Poland., Jirapatnakul A; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York., Kelly KL; International Association for the Study of Lung Cancer, Denver, Colorado., Krishnan K; Accumetra, Clifton Park, New York., Kobayashi T; Department of Diagnostic and Interventional Radiology, Ishikawa Prefectural Central Hospital, Kanazawa, Ishikawa, Japan., Logan J; Fiona Stanley Hospital, Perth, Western Australia, Australia., Mattos J; Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil., Mayo J; Department of Radiology, Vancouver General Hospital and the University of British Columbia, Vancouver, British Columbia, Canada., McWilliams A; Fiona Stanley Hospital, University of Western Australia, Perth, Western Australia, Australia., Mitsudomi T; Department of Surgery, Division of Thoracic Surgery, Kindai University Faculty of Medicine, Osaka-Sayama, Japan., Pastorino U; Department of Surgery, Section of Thoracic Surgery, National Cancer Institute of Milan, Milan, Italy., Polańska J; Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland., Rzyman W; Department of Thoracic Surgery, Medical University of Gdańsk, Gdańsk, Poland., Sales Dos Santos R; Hospital Cárdio Pulmonar da Bahia, Hospital Israelita Albert Einstein, São Paulo, Brazil., Scagliotti GV; Department of Oncology, University of Torino, Torino, Italy., Wakelee H; Stanford Cancer Institute, Stanford University, Stanford, California., Yankelevitz DF; Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York., Field JK; Roy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, United Kingdom., Mulshine JL; Internal Medicine, Graduate College, Rush University Medical Center, Chicago, Illinois., Avila R; Accumetra, Clifton Park, New York.

Publikováno v: Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer [J Thorac Oncol] 2024 Jan; Vol. 19 (1), pp. 94-105. Date of Electronic Publication: 2023 Aug 16.

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