Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Gaye Keser"'
Publikováno v:
Current Research in Dental Sciences, Vol 32, Iss 2, Pp 132-136 (2022)
Externí odkaz:
https://doaj.org/article/d68c7edb1c0849298a7ff7d0e223c849
Autor:
Gaye KESER, Filiz NAMDAR PEKİNER
Publikováno v:
Current Research in Dental Sciences, Vol 32, Iss 1, Pp 1-4 (2022)
Externí odkaz:
https://doaj.org/article/5be6cba202c24b15b2021311be672899
Publikováno v:
Selcuk Dental Journal, Vol 6, Iss 4, Pp 7-14 (2019)
Background: The aim of this study is to evaluate the level of knowledge and attitudes about digital radiography and Cone Beam Computed Tomography (CBCT) of Marmara University 4th and 5th grade students as a result of their education.Methods: In our s
Externí odkaz:
https://doaj.org/article/68e4f0a50cc6402d910315f328445fab
Autor:
Gaye Keser
Publikováno v:
Journal of Ultrasonography. 22:204-208
Aim: Deep learning algorithms have lately been used for medical image processing, and they have showed promise in a range of applications. The purpose of this study was to develop and test computer-based diagnostic tools for evaluating masseter muscl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eea06b3e1c257c9d84c650ffe41d281f
https://doi.org/10.15557/jou.2022.0034
https://doi.org/10.15557/jou.2022.0034
Autor:
Gaye Keser, Filiz Namdar Pekiner
Publikováno v:
Current Researches in Health Sciences-I ISBN: 9789754476057
In terms of new technologies that continue to have an impact on daily life, artificial intelligence (AI) covers a wide range. Due to the development of AI, it is now feasible to analyze large amounts of data, which enhances decision-making by supplyi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::242d17efa6f8dab3d4285a12f6d16d9a
https://doi.org/10.58830/ozgur.pub91.c383
https://doi.org/10.58830/ozgur.pub91.c383
Autor:
Günay Yıldız, Fatih Selvi, Cihan Bedel, Ökkeş Zortuk, Elif Ulutaş Deniz, Kader Zeybek Aydoğan, Betül Kaya, İsmail Baloğlu, Sema Metin, Ali Akar, Gaye Keser, Rümeysa Korkmaz, Esmanur Şimşek, Hasan Can Söğüt, Ufuk Kesmez, Didem Özkal Eminoğlu, Sanem Şener, Tuğba Güven, Ayşe Dişli Gürler, Süleyman Kaan Öner, Seydi Ahmet Şengül, Sevil Alkan, Zehra Seznur Kasar, Figen Orhan
Sevgili Okuyucularımız , Kitabımızı bilim ışığında değerli çalışmalar yapan dostlarımız sayesinde tamamladık. Her çağda önemini sürdüren sağlık kavramı son birkaç yıldır dünyayı etkisi altına alan covid-19 salgını ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::517ff187af9b40ba2efb71c257f7d47e
https://doi.org/10.58830/ozgur.pub74
https://doi.org/10.58830/ozgur.pub74
Publikováno v:
Clinical and Experimental Health Sciences.
Objective: In dentistry, systemic diseases are extremely important in terms of taking the required precautions for overall health and preventing complications before they emerge. Many clinicians are aware of the oral symptoms of systemic diseases; ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5b3df357de2c7be7a3b8dd993d9d23d
https://doi.org/10.33808/clinexphealthsci.1077549
https://doi.org/10.33808/clinexphealthsci.1077549
Publikováno v:
Selcuk Dental Journal. 8:1-7
Background: The aim of this study was to introduce a new radiological classification that could be normally used in clinical practice to assess the relationship between an impacted third molar and mandibular canal on cone beam CT (CBCT) images. Mater
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba99a2c15fb65d77d4681532dd759789
https://doi.org/10.15311/selcukdentj.776842
https://doi.org/10.15311/selcukdentj.776842
Publikováno v:
Journal of Stomatology, Oral and Maxillofacial Surgery. 124:101264
Deep learning methods have recently been applied for the processing of medical images, and they have shown promise in a variety of applications. This study aimed to develop a deep learning approach for identifying oral lichen planus lesions using pho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3d504aef182390ed35f37f2c18db7bb
https://doi.org/10.1016/j.jormas.2022.08.007
https://doi.org/10.1016/j.jormas.2022.08.007
Autor:
Filiz Namdar Pekiner, Gaye Keser
Publikováno v:
Volume: 11, Issue: 4 637-641
Clinical and Experimental Health Sciences
Clinical and Experimental Health Sciences
Objective: This study investigated knowledge, attitudes, and perceptions regarding the future of artificial intelligence (AI) for radiological diagnosis among a group of Turkish dental students. Methods: An online survey was conducted consisting of 1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38635150f6f2f24f16c349e3c24fd8de
https://dergipark.org.tr/tr/pub/clinexphealthsci/issue/65525/928246
https://dergipark.org.tr/tr/pub/clinexphealthsci/issue/65525/928246