Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jonathan Stoeckel"'
Autor:
Dr. Anna Jerebko, US-Malvern, Pennsylvania, Arun Krishnan, US-Exton, Pennsylvania, Sriram Krishnan, US-Exton, Pennsylvania, Dr. Balaji Krishnapuram, US-King Of Prussia, Pennsylvania, Marcos Salganicoff, US-Bala Cynwyd, Pennsylvania, Dr. Jonathan Stoeckel, IL-Jerusalem, Dr. Xiang Sean Zhou, US-Malvern, Pennsylvania
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ea581942d93b87d5b01ffc452445dd5
Autor:
Glenn Fung, Jonathan Stoeckel
Publikováno v:
Knowledge and Information Systems. 11:243-258
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f504ba382948f699d94f77cabdb5e1de
https://doi.org/10.1007/s10115-006-0043-5
https://doi.org/10.1007/s10115-006-0043-5
Autor:
Arun Krishnan, Jonathan Stoeckel, Peter Herzog, Murat Dundar, David P. Naidich, Marcos Salganicoff, Glenn Fung, Hong Shen, Senthil Periaswamy, Jinbo Bi, Matthias Wolf
Publikováno v:
International Congress Series. 1281:1104-1108
Early detection of lung nodules is an important clinical indication for obtaining routine CT studies of the thorax. To date, research has mainly focused on the sensitivity of CAD compared with expert chest radiologists using data obtained from single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61981f9758b61e08726491d5402a7ecc
https://doi.org/10.1016/j.ics.2005.03.355
https://doi.org/10.1016/j.ics.2005.03.355
Autor:
Shaked Laks, Luca Bogoni, Arun Krishnan, Jonathan Stoeckel, R. Amara, T. Venkata, Glenn Fung, Michael Macari, E. Vega, Alec J. Megibow, Anna Jerebko, Senthil Periaswamy, Jianming Liang, R. Bharat Rao, Murat Dundar, Pascal Cathier, Alok Gupta
Publikováno v:
CARS
Colorectal cancer is the third most common cancer in both men and women and it was estimated that in 2003 nearly 150,000 cases would be diagnosed and 57,000 people would die. Screening has been accepted as a means for early detection of the disease,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b961d0a8fda5ba5e4d90768706af58a
https://doi.org/10.1016/j.ics.2004.03.189
https://doi.org/10.1016/j.ics.2004.03.189
Autor:
Jane P. Ko, Daniel Moses, Carol L. Novak, William Moore, Ioannis Vlahos, Stanley Lu, Nicole Abinanti, Jonathan Stoeckel, David P. Naidich
Publikováno v:
CARS
Early detection of lung nodules is an important clinical indication for obtaining routine CT studies of the thorax. To date, research has focused on the sensitivity of computer-aided diagnosis (CAD) compared with expert chest radiologists typically u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::975cf4ebf7c4d4579ed60847a25e527f
https://doi.org/10.1016/j.ics.2004.03.288
https://doi.org/10.1016/j.ics.2004.03.288
Autor:
Maximilian F. Reiser, Hong Shen, Sonja Buhmann, Matthias Wolf, Arun Krishnan, Marcos Salganicoff, Jonathan Stoeckel, Peter Herzog
Publikováno v:
International Congress Series. 1281:1143-1145
Purpose To evaluate the effect of the prototype version of a computer-aided detection system, the so-called Lung-CAD, on the sensitivity of a cohort of community radiologists concerning the detection of any pulmonary nodules on multi-detector raw com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2cc2babee7c8fe733d5b36d579c547d
https://doi.org/10.1016/j.ics.2005.03.359
https://doi.org/10.1016/j.ics.2005.03.359
Autor:
Kyoichi Otsuka, Noriyuki Moriyama, Yukio Muramatsu, Nachiko Uchiyama, Jonathan Stoeckel, Seiko Kuroki
Publikováno v:
Digital Mammography ISBN: 9783642136658
Digital Mammography / IWDM
Digital Mammography / IWDM
This study was conducted to retrospectively evaluate the variation of CAD performance utilizing two different FFDM systems in normal clinical cases.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa8faebcc21efebda2294080d5f2a571
https://doi.org/10.1007/978-3-642-13666-5_39
https://doi.org/10.1007/978-3-642-13666-5_39
Autor:
Menahem Abramov, Richard Lederman, Isaac Leichter, Jonathan Stoeckel, Alexandra Manevich, Eli Ratner
Publikováno v:
Digital Mammography ISBN: 9783642136658
Digital Mammography / IWDM
Digital Mammography / IWDM
16963 FFDM cases (280 cancers), were culled retrospectively and run with a CAD algorithm Instead of using CAD as a "second reader", the study investigates the feasibility of using CAD for prescreening, allowing cases with no CAD prompts to bypass rev
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f92625cf06b09bf32cc3940274c14343
https://doi.org/10.1007/978-3-642-13666-5_22
https://doi.org/10.1007/978-3-642-13666-5_22
Publikováno v:
Digital Mammography ISBN: 9783642136658
Digital Mammography / IWDM
Digital Mammography / IWDM
This paper deals with learning spiculation scores of masses in a supervised manner Three spiculation score prediction models treating the score either as a continuous or ordinary variable are presented These models were compared on a data-set of 255
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76c63e8e3ced86c24835d0f456b66286
https://doi.org/10.1007/978-3-642-13666-5_37
https://doi.org/10.1007/978-3-642-13666-5_37
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
Computer-aided diagnosis (CAD) systems usually require information about regions of interest in images, like: lungs (for nodule detection), colon (for identifying polyps), etc. Many times, it is computationally intensive to process large data sets as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::037bcac2125d0c41dcf8f4d23b37034c
https://doi.org/10.1117/12.812242
https://doi.org/10.1117/12.812242