Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ramanauskas, Naglis"'
Autor:
Ohlmann-Knafo, Susanne, Ramanauskas, Naglis, Huettinger, Sebastian, Jeyakumar, Emil Johnson, Barušauskas, Darius, Bielskienė, Neringa, Naujalis, Vytautas, Bialopetravičius, Jonas, Ražanskas, Jonas, Samuilis, Artūras, Dementavičienė, Jūratė, Pickuth, Dirk
Objectives: To compare artificial intelligence (AI) as a second reader in detecting lung nodules on chest X-rays (CXR) versus radiologists of two binational institutions, and to evaluate AI performance when using two different modes: automated versus
Externí odkaz:
http://arxiv.org/abs/2206.10912
Objectives: To assess the use of artificial intelligence-based software in ruling out chest X-ray cases, with no significant findings in a primary health care setting. Methods: In this retrospective study, a commercially available artificial intellig
Externí odkaz:
http://arxiv.org/abs/2205.08123
Autor:
Topff, Laurens, Steltenpool, Sanne, Ranschaert, Erik R., Ramanauskas, Naglis, Menezes, Renee, Visser, Jacob J., Beets-Tan, Regina G. H., Hartkamp, Nolan S.
Publikováno v:
European Radiology; Sep2024, Vol. 34 Issue 9, p5876-5885, 10p
Towards an end-to-end deep learning model for robust multiclass chest X-ray pathology classification
Autor:
Ramanauskas, Naglis
Aims and objectives Methods and materials Results Conclusion Personal information References
Aims and objectives: Chest X-Ray (CXR) is one of the most commonly performed radiological exams. Various computer-assisted diagnostic (CAD) algorithms h
Aims and objectives: Chest X-Ray (CXR) is one of the most commonly performed radiological exams. Various computer-assisted diagnostic (CAD) algorithms h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e56b5d963fd892f308f864417c19e58
Akademický článek
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