Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ivan Shabunin"'
Autor:
Lei Hu, Caixia Fu, Xinyang Song, Robert Grimm, Heinrich von Busch, Thomas Benkert, Ali Kamen, Bin Lou, Henkjan Huisman, Angela Tong, Tobias Penzkofer, Moon Hyung Choi, Ivan Shabunin, David Winkel, Pengyi Xing, Dieter Szolar, Fergus Coakley, Steven Shea, Edyta Szurowska, Jing-yi Guo, Liang Li, Yue-hua Li, Jun-gong Zhao
Publikováno v:
Cancer Imaging, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Deep-learning-based computer-aided diagnosis (DL-CAD) systems using MRI for prostate cancer (PCa) detection have demonstrated good performance. Nevertheless, DL-CAD systems are vulnerable to high heterogeneities in DWI, which can
Externí odkaz:
https://doaj.org/article/981403f31e4c4f1e9fbc9078f839b110
Autor:
Sandra Labus, Martin M. Altmann, Henkjan Huisman, Angela Tong, Tobias Penzkofer, Moon Hyung Choi, Ivan Shabunin, David J. Winkel, Pengyi Xing, Dieter H. Szolar, Steven M. Shea, Robert Grimm, Heinrich von Busch, Ali Kamen, Thomas Herold, Clemens Baumann
Publikováno v:
European Radiology, 33, 64-76
European Radiology, 33, 1, pp. 64-76
European Radiology, 33, 1, pp. 64-76
Item does not contain fulltext OBJECTIVES: To evaluate the effect of a deep learning-based computer-aided diagnosis (DL-CAD) system on experienced and less-experienced radiologists in reading prostate mpMRI. METHODS: In this retrospective, multi-read
Autor:
Ivan Shabunin, Heinrich von Busch, Angela Tong, Tobias Penzkofer, Pengyi Xing, Moon Hyung Choi, Jonathan A. Disselhorst, Robert Grimm, Daniel T. Boll, Dorin Comaniciu, Bin Lou, Alejandro Rodriguez-Ruiz, Henkjan J. Huisman, Dieter H. Szolar, Ali Kamen, David J Winkel
Publikováno v:
Investigative Radiology, 56, 605-613
Investigative Radiology, 56, 10, pp. 605-613
Investigative Radiology, 56, 10, pp. 605-613
OBJECTIVE The aim of this study was to evaluate the effect of a deep learning based computer-aided diagnosis (DL-CAD) system on radiologists' interpretation accuracy and efficiency in reading biparametric prostate magnetic resonance imaging scans. MA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41bb0adbffcf7b98ef2fc556e54d9352
http://hdl.handle.net/2066/237631
http://hdl.handle.net/2066/237631
Autor:
Ali Kamen, Berthold Kiefer, Moon Hyung Choi, Andrew B. Rosenkrantz, Ivan Shabunin, Dieter Szolar, Mamadou Diallo, Tongbai Meng, Heinrich von Busch, Tobias Penzkofer, Bibo Shi, David J. Winkel, Qingsong Yang, Xin Yu, Robert Grimm, Henkjan J. Huisman, Dorin Comaniciu, Bin Lou, Nacim Arrahmane
Publikováno v:
ISBI
Prostate cancer (PCa) is the most prevalent and one of the leading causes of cancer death among men. Multi-parametric MRI (mp-MRI) is a prominent diagnostic scan, which could help in avoiding unnecessary biopsies for men screened for PCa. Artificial