David F. Yankelevitz focuses on Radiology, Lung cancer, Nodule, Cancer and Internal medicine. His Radiology study frequently links to other fields, such as Lung. David F. Yankelevitz combines subjects such as Respiratory disease, Carcinoma, Surgery and Adenocarcinoma with his study of Lung cancer.
His studies deal with areas such as Tomography and Nuclear medicine as well as Nodule. His Cancer research is multidisciplinary, relying on both Retrospective cohort study, National Lung Screening Trial, Lung cancer screening, Mass screening and Stage. He works mostly in the field of Internal medicine, limiting it down to topics relating to Oncology and, in certain cases, Adenocarcinoma of the lung, Respiratory system, Vascular endothelial growth factor and Clinical trial, as a part of the same area of interest.
His scientific interests lie mostly in Radiology, Lung cancer, Internal medicine, Lung and Nodule. His work on Radiology is being expanded to include thematically relevant topics such as Respiratory disease. His Lung cancer research integrates issues from Stage and Cancer.
David F. Yankelevitz has included themes like Surgery, Oncology and Cardiology in his Internal medicine study. Adenocarcinoma is closely connected to Carcinoma in his research, which is encompassed under the umbrella topic of Lung. The Nodule study which covers Nuclear medicine that intersects with Computer-aided diagnosis.
David F. Yankelevitz mainly focuses on Lung cancer, Radiology, Lung cancer screening, Internal medicine and Lung. His Lung cancer research is multidisciplinary, incorporating elements of Asymptomatic and Intensive care medicine. His work deals with themes such as Confidence interval and Mass screening, which intersect with Radiology.
His research integrates issues of Oncology and Cardiology in his study of Internal medicine. His Oncology study which covers Survival rate that intersects with Cancer. His research investigates the link between Lung and topics such as Stage that cross with problems in Positron emission tomography, Radiography and Biopsy.
Radiology, Lung cancer, Lung, Nodule and Lung cancer screening are his primary areas of study. His Radiology study combines topics in areas such as Confidence interval and Mass screening. His Lung cancer study is focused on Internal medicine in general.
His work in the fields of National Lung Screening Trial and Multiple Pulmonary Nodules overlaps with other areas such as Detection rate. His studies in Nodule integrate themes in fields like Overall survival, Resection and Nuclear medicine. The concepts of his Lung cancer screening study are interwoven with issues in Cancer screening, Asymptomatic and Interstitial lung disease.
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Early Lung Cancer Action Project: overall design and findings from baseline screening
Claudia I Henschke;Dorothy I McCauley;David F Yankelevitz;David P Naidich.
The Lancet (1999)
Survival of patients with stage I lung cancer detected on CT screening.
Claudia I Henschke;David F Yankelevitz;Daniel M Libby.
The New England Journal of Medicine (2006)
The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.
Samuel G. Armato;Geoffrey McLennan;Luc Bidaut;Michael F. McNitt‐Gray.
Medical Physics (2011)
CT Screening for Lung Cancer: Frequency and Significance of Part-Solid and Nonsolid Nodules
Claudia I Henschke;David F Yankelevitz;Rosna Mirtcheva;Georgeann McGuinness.
American Journal of Roentgenology (2002)
Small Pulmonary Nodules: Volumetrically Determined Growth Rates Based on CT Evaluation
David F. Yankelevitz;Anthony P. Reeves;William J. Kostis;Binsheng Zhao.
Early Lung Cancer Action Project : Initial findings on repeat screening
Claudia I. Henschke;David P. Naidich;David F. Yankelevitz;Georgeann McGuinness.
System and method for three-dimensional image rendering and analysis
Anthony P. Reeves;William J. Kostis;Claudia Henschke;David Yankelevitz.
CT Screening for Lung Cancer: Suspiciousness of Nodules according to Size on Baseline Scans
Claudia I. Henschke;David F. Yankelevitz;David P. Naidich;Dorothy I. McCauley.
Lung image database consortium: developing a resource for the medical imaging research community.
Samuel G. Armato;Geoffrey McLennan;Michael F. McNitt-Gray;Charles R. Meyer.
Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images
W.J. Kostis;A.P. Reeves;D.F. Yankelevitz;C.I. Henschke.
IEEE Transactions on Medical Imaging (2003)
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