Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Stefan Udristoiu"'
Autor:
Anca Loredana Udriștoiu, Alice Elena Ghenea, Ștefan Udriștoiu, Manuela Neaga, Ovidiu Mircea Zlatian, Corina Maria Vasile, Mihaela Popescu, Eugen Nicolae Țieranu, Alex-Ioan Salan, Adina Andreea Turcu, Dragos Nicolosu, Daniela Calina, Ramona Cioboata
Publikováno v:
Life, Vol 11, Iss 11, p 1281 (2021)
(1) Background: The new SARS-COV-2 pandemic overwhelmed intensive care units, clinicians, and radiologists, so the development of methods to forecast the diagnosis’ severity became a necessity and a helpful tool. (2) Methods: In this paper, we prop
Externí odkaz:
https://doaj.org/article/780497f3d4a74b4eaaf0e6941506731a
Autor:
Cristian Gheonea, Anca Loredana Udristoiu, Ramona Cioboată, Dragoş-Ovidiu Alexandru, Corina Maria Vasile, Oana Iana, Mirela Anişoara Siminel, Stefan Udristoiu, Carmen-Elena Niculescu, Alice Elena Ghenea, Anca Ungureanu
Publikováno v:
Research and Science Today. 21:67-77
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11aff4fe3f2e647c0e187e86c6b1db25
https://doi.org/10.38173/rst.2021.21.1.6:67-77
https://doi.org/10.38173/rst.2021.21.1.6:67-77
Publikováno v:
State-of-the-Art and Future Directions of Smart Learning ISBN: 9789812878663
This paper presents a method for discovering interesting patterns in an e-learning system using a clustering method based on variable precision rough set theory and association rules. The information from each cluster is then used to generate interes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07861ae538dcb790afdafc76f40f8f2a
https://doi.org/10.1007/978-981-287-868-7_51
https://doi.org/10.1007/978-981-287-868-7_51
Autor:
Stefan Udristoiu, Anca Ion
Publikováno v:
IFMBE Proceedings ISBN: 9783642225857
This paper proposes the utilization of rough set theory for modeling the medical images to help physicians in diagnosing. The rough set theory is a powerful approach that permits the searching for patterns in medical images using the minimal length p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1941d0b8bbe6f002ca6d7b67397516b
https://doi.org/10.1007/978-3-642-22586-4_45
https://doi.org/10.1007/978-3-642-22586-4_45
Autor:
Anca Ion, Stefan Udristoiu
Publikováno v:
CISIS
The modeling of multimedia and especially the semantic gap between the visual features and semantic concepts become an important domain due to the quantity of visual digital content, which speedily grows. In this paper, the analysis and semantic anno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::850524441c212d30d83c5c9013ca16ea
https://doi.org/10.1109/cisis.2010.43
https://doi.org/10.1109/cisis.2010.43
Autor:
Anca Ion, Stefan Udristoiu
Publikováno v:
Advances in Databases and Information Systems ISBN: 9783642155758
ADBIS
ADBIS
This paper is a part of a complex study of developing methods for semantic interpretation of medical images, to permit the semi-automatic diagnosis. The first objective of the study is to develop new methods for medical image segmentation and a set o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7ff9c095b70406f547b2280427460b
https://doi.org/10.1007/978-3-642-15576-5_19
https://doi.org/10.1007/978-3-642-15576-5_19
Publikováno v:
IFMBE Proceedings ISBN: 9783642042911
In this paper we study a method for automatic diagnosis based on edoscopies of medical images. We develop algorithms that automatically generate rules that identify medical diagnosis. A semantic rule is a combination of semantic indicator values that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54a7c5203077ccc0e8259df70ec96c1d
https://doi.org/10.1007/978-3-642-04292-8_55
https://doi.org/10.1007/978-3-642-04292-8_55
Publikováno v:
2008 The Third International Multi-Conference on Computing in the Global Information Technology (iccgi 2008).
Our goal is to organize the image contents semantically. In this paper, we propose a method to classify the images semantically, using the C-fuzzy algorithm to segment the natural scenes into perceptually uniform regions. The low-level characteristic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4d278c232716314a8aee57f2bf26cb6
https://doi.org/10.1109/iccgi.2008.29
https://doi.org/10.1109/iccgi.2008.29
Publikováno v:
2008 Conference on Human System Interactions.
To develop image navigation systems, we need tools to realize the semantic relationship between user and database. In this paper, it is presented an indexing schema of images and a simple semantic vocabulary that permits to the user to introduce the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c52847af10a0d845b02ed31414f120d
https://doi.org/10.1109/hsi.2008.4581490
https://doi.org/10.1109/hsi.2008.4581490
Autor:
Anca Loredana Udriștoiu, Irina Mihaela Cazacu, Lucian Gheorghe Gruionu, Gabriel Gruionu, Andreea Valentina Iacob, Daniela Elena Burtea, Bogdan Silviu Ungureanu, Mădălin Ionuț Costache, Alina Constantin, Carmen Florina Popescu, Ștefan Udriștoiu, Adrian Săftoiu
Publikováno v:
PLoS ONE, Vol 16, Iss 6, p e0251701 (2021)
Differential diagnosis of focal pancreatic masses is based on endoscopic ultrasound (EUS) guided fine needle aspiration biopsy (EUS-FNA/FNB). Several imaging techniques (i.e. gray-scale, color Doppler, contrast-enhancement and elastography) are used
Externí odkaz:
https://doaj.org/article/15fd473252e0407a8d6f34c3979ad484