Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vitali Khvatkov"'
Autor:
Ugur Halici, Rishab Gargeya, Quincy Wong, Hady Ahmady Phoulady, David Tellez, Bram van Ginneken, Andrew H. Beck, Nico Karssemeijer, Jeroen van der Laak, Nassir Navab, Jonas Annuscheit, Leena Latonen, Kaisa Liimatainen, Talha Qaiser, Dayong Wang, Quirine F. Manson, Aoxiao Zhong, Shigeto Seno, Yee-Wah Tsang, Rui Venâncio, Ismael Serrano, Daniel Racoceanu, N. Stathonikos, Muhammad Shaban, Stefanie Demirci, M. Milagro Fernández-Carrobles, Babak Ehteshami Bejnordi, Matt Berseth, Mustafa Umit Oner, Geert Litjens, Kimmo Kartasalo, Hideo Matsuda, Maschenka Balkenhol, Huangjing Lin, Elia Bruni, Hao Chen, Seiryo Watanabe, A. Kalinovsky, Marcory C. R. F. van Dijk, Ami George, Nasir M. Rajpoot, Francisco Beca, Quanzheng Li, Meyke Hermsen, Mira Valkonen, Oscar Deniz, Alexei Vylegzhanin, Vitali Liauchuk, Ruqayya Awan, Mitko Veta, Korsuk Sirinukunwattana, Gloria Bueno, Peter Hufnagl, Christian Haß, Vassili Kovalev, Vitali Khvatkov, Rengul Cetin-Atalay, Humayun Irshad, Oren Kraus, Qi Dou, Pekka Ruusuvuori, Aditya Khosla, Bharti Mungal, Pheng-Ann Heng, Oscar Geessink, Paul J. van Diest, Shadi Albarqouni, Peter Bult, Yoichi Takenaka
Publikováno v:
JAMA Cardiology
JAMA Cardiology, American Medical Association 2017, 318, ⟨10.1001/jama.2017.14585⟩
Jama : Journal of the American Medical Association, 318, 2199-2210
JAMA Neurology, 318(22), 2199-2210. American Medical Association (AMA)
Jama : Journal of the American Medical Association, 318, 22, pp. 2199-2210
JAMA-The Journal of The American Medical Association, 318(22), 2199. American Medical Association
JAMA Cardiology, American Medical Association 2017, 318, ⟨10.1001/jama.2017.14585⟩
Jama : Journal of the American Medical Association, 318, 2199-2210
JAMA Neurology, 318(22), 2199-2210. American Medical Association (AMA)
Jama : Journal of the American Medical Association, 318, 22, pp. 2199-2210
JAMA-The Journal of The American Medical Association, 318(22), 2199. American Medical Association
IMPORTANCE: Application of deep learning algorithms to whole-slide pathology imagescan potentially improve diagnostic accuracy and efficiency. OBJECTIVE: Assess the performance of automated deep learning algorithms at detecting metastases in hematoxy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c5e2e1ebc60e746d57a0deffa5ee651b
https://hal.archives-ouvertes.fr/hal-03140979/document
https://hal.archives-ouvertes.fr/hal-03140979/document
Autor:
Vitali, Khvatkov, Evgenia, Harris
Publikováno v:
MLO: medical laboratory observer. 45(11)
Publikováno v:
SPIE Proceedings.
Semiconductor technology is advancing below 50 nm critical dimensions bringing unprecedented challenges to process engineering, control and metrology. Traditionally, interconnect metrology is put behind high-priority gate metrology; however, consider
Publikováno v:
SPIE Proceedings.
In this paper we demonstrate the process of creating a large-area, extreme field of view (XFOV) SEM image of a critical layer of an IC product, using an array of images captured with a typical, production CD-SEM. Individual CD-SEM images, taken side-
Publikováno v:
SPIE Proceedings.
SEM microscopy is a primary method for CD measurements of features on sub-micron scale. The process of feature characterization using SEM involves several steps that include image acquisition, image processing, image analysis and data analysis. Each
Autor:
Vitali Khvatkov, Vasily Alievski, Radi Kadushnikov, Sergey Babin, David G. Seiler, Alain C. Diebold, Robert McDonald, C. Michael Garner, Dan Herr, Rajinder P. Khosla, Erik M. Secula
Publikováno v:
AIP Conference Proceedings.
Due to shrinking size of lithographic feature and limitations of SEM process, the native accuracy of CD‐SEM instrument falls outside of ITRS requirements for characterization of lithographic structures for technology node 45 nm and smaller. This wo