Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Delia-Alexandrina Mitrea"'
Autor:
Delia-Alexandrina Mitrea, Raluca Brehar, Sergiu Nedevschi, Monica Lupsor-Platon, Mihai Socaciu, Radu Badea
Publikováno v:
Sensors, Vol 23, Iss 5, p 2520 (2023)
Hepatocellular Carcinoma (HCC) is the most frequent malignant liver tumor and the third cause of cancer-related deaths worldwide. For many years, the golden standard for HCC diagnosis has been the needle biopsy, which is invasive and carries risks. C
Externí odkaz:
https://doaj.org/article/c7e7a9f880e9478386e408df19b1a962
Autor:
Raluca Brehar, Delia-Alexandrina Mitrea, Flaviu Vancea, Tiberiu Marita, Sergiu Nedevschi, Monica Lupsor-Platon, Magda Rotaru, Radu Ioan Badea
Publikováno v:
Sensors, Vol 20, Iss 11, p 3085 (2020)
The emergence of deep-learning methods in different computer vision tasks has proved to offer increased detection, recognition or segmentation accuracy when large annotated image datasets are available. In the case of medical image processing and com
Externí odkaz:
https://doaj.org/article/4a054dbdb90b41aaaba1fe1153c0c79b
Autor:
Delia-Alexandrina Mitrea, Ioana Chifor, Alexandru Florin Badea, Mindra Eugenia Badea, Maria Crisan, Radu Chifor
Publikováno v:
Medicine and Pharmacy Reports
The periodontal disease and gingival bleeding are highly prevalent in the adult population worldwide. The World Health Organization (WHO) data shows that 90–100% of the 34-year-old adults present gingival inflammation. Therefore, an investigation m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e729843e79ff173aadfbbf89c4bc7fb
http://europepmc.org/articles/PMC6978923
http://europepmc.org/articles/PMC6978923
Autor:
Delia-Alexandrina Mitrea, Daniel-Corneliu Leucuta, Stefan-Emeric Szamoskozi, Sergiu-Mihai Nicoara
Publikováno v:
European Journal of Investigation in Health, Psychology and Education
Volume 10
Issue 1
Pages 38-543
Volume 10
Issue 1
Pages 38-543
This study is part of a doctoral thesis conducted at the Faculty of Psychology of Babes-Bolyai University in collaboration with the University of Medicine, both from Cluj-Napoca, Romania. The starting point of the study was based on the eternal quest
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3790ae1a779774a7958b9c95e241f1c4
Autor:
Radu Badea, Monica Lupsor Platon, Sergiu Nedevschi, Paulina Mitrea, Raluca Brehar, Delia-Alexandrina Mitrea
Publikováno v:
6th International Conference on Advancements of Medicine and Health Care through Technology; 17–20 October 2018, Cluj-Napoca, Romania ISBN: 9789811362064
Hepatocellular carcinoma (HCC) represents the most frequent form of liver cancer. It evolves from cirrhosis, as the result of a restructuring phase at the end of which dysplastic nodules appear. HCC is the main cause of death in people affected by ci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c9a592d0bf9ffe812c5389e43e657ea
https://doi.org/10.1007/978-981-13-6207-1_27
https://doi.org/10.1007/978-981-13-6207-1_27
Autor:
Sergiu Nedevschi, Magda Rotaru, Tiberiu Marita, Delia-Alexandrina Mitrea, Flaviu Vancea, Monica Lupsor-Platon, Raluca Brehar, Radu Badea
Publikováno v:
Sensors, Vol 20, Iss 3085, p 3085 (2020)
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 11
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 11
The emergence of deep-learning methods in different computer vision tasks has proved to offer increased detection, recognition or segmentation accuracy when large annotated image datasets are available. In the case of medical image processing and com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3d5c20529f6a46aafb9b942b0448de9
https://doi.org/10.3390/s20113085
https://doi.org/10.3390/s20113085
Publikováno v:
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems, Vol 5, Iss 2, Pp 61-67 (2016)
The non-invasive diagnosis, based on ultrasound images, is a challenge in nowadays research. We develop computerized, texture-based methods, for automatic and computer assisted diagnosis, using the information obtained from ultrasound images. In this
Externí odkaz:
https://doaj.org/article/95b64504350d4124950f0d72620da453