Zobrazeno 1 - 10
of 21
pro vyhledávání: '"HAAR features cascade"'
Publikováno v:
Journal of Education, Health and Sport, Vol 12, Iss 3 (2022)
The evaluation of the effectiveness of the automatic computer diagnostic (ACD) systems developed based on two classifiers – HAAR features cascade and AdaBoost for the laparoscopic diagnostics of appendicitis and ovarian cysts in women with chronic
Externí odkaz:
https://doaj.org/article/ca7bb4a7bd6e448782effedbe217a3bf
Akademický článek
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Autor:
Dmytro M. Bayzitov, Artem V. Liashenko, Mykola R. Bayazitov, Katerina A. Bidnyuk, Tamara L. Godlevska
Publikováno v:
Wiadomości Lekarskie. 76:251-256
The aim: To evaluate the automatic computer diagnostic (ACD) systems, which were developed, based on two classifiers–HAAR features cascade and AdaBoost for the laparoscopic diagnostics of appendicitis and ovarian cysts in women with chronic pelvic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e8204e5497838026f1c6733561ebfe0
https://doi.org/10.36740/wlek202302102
https://doi.org/10.36740/wlek202302102
Publikováno v:
Patologìâ, Iss 2, Pp 182-187 (2017)
Сomputer automatic diagnostic (CAD)/classification of video – images is actual for laparoscopic surgery. Such CAD is supposed to explore intraoperatively for support surgeon decisions. Aim: to evaluate the effectiveness of the CAD systems devel
Externí odkaz:
https://doaj.org/article/9d87e3711e484bd9b71612569ac73f44
Autor:
N. V. Kresyun, L. S. Godlevsky, N. R. Bayazitov, T. V. Prybolovets, A. V. Lyashenko, А. B. Buzinovsky, D. N. Bayazitov, K. A. Bidnyuk
Publikováno v:
Patologìâ, Iss 2, Pp 182-187 (2017)
Сomputer automatic diagnostic (CAD)/classification of video – images is actual for laparoscopic surgery. Such CAD is supposed to explore intraoperatively for support surgeon decisions. Aim: to evaluate the effectiveness of the CAD systems develope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e2cbab4c8ab405c10953c1f21baf6fb
http://pat.zsmu.edu.ua/article/view/109219/105915
http://pat.zsmu.edu.ua/article/view/109219/105915
Autor:
Thanvantri Vasudevan, Vishal, Sridharan, Srinidhi, Swaminathan, Srividhya, Karlapati, Sri Vishnu Kumar, Rengasamy, Swathika
Publikováno v:
CSI Transactions on ICT; Dec2016, Vol. 4 Issue 2-4, p165-171, 7p
Publikováno v:
2013 IEEE Intelligent Vehicles Symposium (IV); 2013, p285-291, 7p
Autor:
Spinello, Luciano, Siegwart, Roland
Publikováno v:
Computer Vision Systems (9783540795469); 2008, p89-98, 10p
Autor:
Sukhavasi, Suparshya Babu, Sukhavasi, Susrutha Babu, Elleithy, Khaled, El-Sayed, Ahmed, Elleithy, Abdelrahman
Publikováno v:
International Journal of Environmental Research & Public Health; Mar2022, Vol. 19 Issue 5, p3085, 1p
Publikováno v:
Multiple Classifier Systems ISBN: 9783642380662
MCS
MCS
In this study, we propose a novel two-stages mixture of experts scheme estimating gender from facial images. The first stage combines a couple of complementary gender classifiers with a third arbiter in case of decision discrepancy. Experimentally, w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32f4556fdb0b7a4dc2f3a15f1ca95f98
https://doi.org/10.1007/978-3-642-38067-9_5
https://doi.org/10.1007/978-3-642-38067-9_5
