Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Gary E. Laderach"'
Autor:
Reginald F. Munden, C. Matilda Jude, Alberto Biancardi, Lawrence H. Schwartz, Claudia I. Henschke, Charles R. Meyer, Amanda R. Smith, Nicholas Petrick, Vikram Anand, Geoffrey McLennan, Charles Fenimore, David F. Yankelevitz, David Qing, Uri Shreter, Stephen Vastagh, Ella A. Kazerooni, Poonam Batra, Richard Burns, Edwin J. R. van Beek, Rachael Y. Roberts, David Gur, Binsheng Zhao, Ekta Dharaiya, Brian Hughes, Ali Farooqi, Eric A. Hoffman, Richard C. Pais, Denise R. Aberle, Michael F. McNitt-Gray, Leslie E. Quint, Barbara Y. Croft, Adam Starkey, Sangeeta Gupte, Heber MacMahon, Daniel Max, Gary E. Laderach, Samuel G. Armato, David Fryd, Marcos Salganicoff, Luc Bidaut, Anthony P. Reeves, Roger Engelmann, Matthew S. Brown, Alessi Vande Casteele, Michael Kuhn, Justin Kirby, Philip Caligiuri, Lori E. Dodd, Gregory W. Gladish, Peyton H. Bland, Laurence P. Clarke, Maha Sallam, Baskaran Sundaram, Iva Petkovska, John Freymann, Michael D. Heath
Publikováno v:
Medical Physics. 38:915-931
Purpose: The development of computer-aided diagnostic (CAD) methods for lung nodule detection, classification, and quantitative assessment can be facilitated through a well-characterized repository of computed tomography (CT) scans. The Lung Image Da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e976603c325f67af08e9b555cd992783
https://doi.org/10.1118/1.3528204
https://doi.org/10.1118/1.3528204
Autor:
David F. Yankelevitz, Anthony P. Reeves, Barbara Y. Croft, Heber MacMahon, Adam Starkey, Laurence P. Clarke, Chris Piker, Daniel Max, Eric A. Hoffman, Samuel G. Armato, Brian F. Mullan, Geoffrey McLennan, David Gur, Richie C. Pais, Peyton H. Bland, Junfeng Guo, Ella A. Kazerooni, Timothy D. Johnson, Michael F. McNitt-Gray, Denise R. Aberle, David Qing, Claudia I. Henschke, Gary E. Laderach, Edwin J. R. van Beek, Charles R. Meyer
Publikováno v:
Meyer, C R, Johnson, T D, McLennan, G, Aberle, D R, Kazerooni, E A, Macmahon, H, Mullan, B F, Yankelevitz, D F, van Beek, E J R, Armato, S G, McNitt-Gray, M F, Reeves, A P, Gur, D, Henschke, C I, Hoffman, E A, Bland, P H, Laderach, G, Pais, R, Qing, D, Piker, C, Guo, J, Starkey, A, Max, D, Croft, B Y & Clarke, L P 2006, ' Evaluation of lung MDCT nodule annotation across radiologists and methods ', Academic Radiology, vol. 13, no. 10, pp. 1254-65 . https://doi.org/10.1016/j.acra.2006.07.012
RATIONALE AND OBJECTIVES: Integral to the mission of the National Institutes of Health-sponsored Lung Imaging Database Consortium is the accurate definition of the spatial location of pulmonary nodules. Because the majority of small lung nodules are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3aab982ed671f3524fa8057a6b85168
https://doi.org/10.1016/j.acra.2006.07.012
https://doi.org/10.1016/j.acra.2006.07.012
Publikováno v:
SPIE Proceedings.
Policies and regulations in the current health care environment have impacted the manner in which patient data - especially protected health information (PHI) - are handled in the clinical and research settings. Specifically, it is now more challengi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::869fea6bc13fecc3220caf0226f57b23
https://doi.org/10.1117/12.770312
https://doi.org/10.1117/12.770312
Autor:
Chris Piker, David Qing, Matthew S. Brown, John Freymann, Edwin J. R. van Beek, Charles R. Meyer, Anthony P. Reeves, Denise R. Aberle, Zaid J. Towfic, Geoffrey McLennan, David F. Yankelevitz, Laurence P. Clarke, Richie C. Pais, Ella A. Kazerooni, Michael F. McNitt-Gray, Gary E. Laderach, Peyton H. Bland, Barbara Y. Croft, Roger Engelmann, Heber MacMahon, Samuel G. Armato, Junfeng Guo
Publikováno v:
Mcnitt-Gray, M F, Armato, S G, Meyer, C R, Reeves, A P, Mclennan, G, Pais, R C, Freymann, J, Brown, M S, Engelmann, R M, Bland, P H, Laderach, G E, Piker, C, Guo, J, Towfic, Z, Qing, D P, Yankelevitz, D F, Aberle, D R, Van Beek, E J R, Macmahon, H, Kazerooni, E A, Croft, B Y & Clarke, L P 2007, ' The Lung Image Database Consortium (LIDC) Data Collection Process for Nodule Detection and Annotation ', Academic Radiology, vol. 14, no. 12, pp. 1464-1474 . https://doi.org/10.1016/j.acra.2007.07.021
RATIONALE AND OBJECTIVES: The Lung Image Database Consortium (LIDC) is developing a publicly available database of thoracic computed tomography (CT) scans as a medical imaging research resource to promote the development of computer-aided detection o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b87b07dd62c36f9f993657ee869f3e0f
https://europepmc.org/articles/PMC2176079/
https://europepmc.org/articles/PMC2176079/
Rationale and Objectives Recent health care policies and regulations have affected the manner in which patient data—especially protected health information (PHI)—are handled in both the clinical and research settings. Specifically, it is now more
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e45cc65b7f06cf05bc1bea27f1cb35bc
https://europepmc.org/articles/PMC1952658/
https://europepmc.org/articles/PMC1952658/
Autor:
David Qing, Laurence P. Clarke, Heber MacMahon, Samuel G. Armato, Gary E. Laderach, Anthony P. Reeves, Denise R. Aberle, Peyton H. Bland, Geoffrey McLennan, Barbara Y. Croft, David F. Yankelevitz, Ella A. Kazerooni, Charles R. Meyer, Junfeng Guo, E. J. R. Van Beek, Christopher W. Piker, Roger Engelmann, Richie C. Pais, Michael F. McNitt-Gray, John Freymann, Matthew S. Brown
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
The LIDC is developing a publicly available database of thoracic computed tomography (CT) scans as a medical imaging research resource. A unique multi-center data collection process and communication system were developed to share image data and to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::320f364a7424781a7f545f43cff558d7
https://doi.org/10.1117/12.713754
https://doi.org/10.1117/12.713754