Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Songul Varli"'
Publikováno v:
IRBM. 43:130-141
Background and Objective As is known, point clouds representing the objects are frequently used in object registration. Although the objects can be registered by using all the points in the corresponding point clouds of the objects, the registration
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::404a35faafad4103a094a7fdd018e43f
https://doi.org/10.1016/j.irbm.2021.04.001
https://doi.org/10.1016/j.irbm.2021.04.001
Autor:
Meliha Gizem Celik, Songul Varli
Publikováno v:
2022 7th International Conference on Computer Science and Engineering (UBMK).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c526714a2643b9277835e62b860cca35
https://doi.org/10.1109/ubmk55850.2022.9919446
https://doi.org/10.1109/ubmk55850.2022.9919446
Autor:
Saadet Aytac Arpaci, Songul Varli
Publikováno v:
2022 30th Signal Processing and Communications Applications Conference (SIU).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89623ba1ad07d9bd20905d9e26bc38f3
https://doi.org/10.1109/siu55565.2022.9864873
https://doi.org/10.1109/siu55565.2022.9864873
Publikováno v:
INISTA
By various hip joint disorders, human proximal femurs are deformed and the natural pure shape of the human proximal femurs is lost. Automatic classification of the proximal femur deformities emerging as a result of the hip diseases is important for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cd718ca9b10ed044672cba4bb3b4c3f
https://doi.org/10.1109/inista52262.2021.9548564
https://doi.org/10.1109/inista52262.2021.9548564
Publikováno v:
SIU
This paper presents a study on evaluation of the point sets obtained via Random Point Sub-sampling (RPS) in rigid registration of 2-dimensional (2D) proximal femur surfaces. In the first stage of the proposed study, the edges of the proximal femurs,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d42bae581e77f3b4f5378232a475bcde
https://doi.org/10.1109/siu53274.2021.9477960
https://doi.org/10.1109/siu53274.2021.9477960
Autor:
Songul Varli, Saadet Aytac Arpaci
Publikováno v:
SIU
In this study, we proposed the EncU-Net model based on U-Net architecture for the segmentation of lesions in dermoscopic images. The EncU-Net model has two encoder sections and one decoder part. The proposed model took two channels (green, L) obtaine
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb4d61180a5f23c56d38a140030f3bee
https://doi.org/10.1109/siu53274.2021.9477853
https://doi.org/10.1109/siu53274.2021.9477853
Publikováno v:
2020 Medical Technologies Congress (TIPTEKNO).
This paper introduces a study of automatic femoral head detection in magnetic resonance imaging (MRI) data sequences. For the 3D detection of the multiform femoral heads having both spheric and aspheric shape structures, the threedimensional form of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36ac016d83067f6f0e514e16756b12a8
https://doi.org/10.1109/tiptekno50054.2020.9299254
https://doi.org/10.1109/tiptekno50054.2020.9299254
Publikováno v:
SIU
Web of Science
Web of Science
In this study, a system has been developed to predict customers who may leave the private pension system. For this purpose, a training data set was formed by combining the churn contracts in the previous months or years with nonchurn contracts for bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f64245ae1e77ea92dcfe86ae6a093b9
https://doi.org/10.1109/siu49456.2020.9302241
https://doi.org/10.1109/siu49456.2020.9302241
Publikováno v:
SIU
In this paper, a study on semantic segmentation of the spheric (healthy) and aspheric (pathological) femoral heads in magnetic resonance (MR) slices with the deep Convolutional Neural Networks (CNNs) is presented. Femoral heads in bilateral hip MR sl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::407e72403779a6c843b90a0eae60a0c2
https://doi.org/10.1109/siu49456.2020.9302213
https://doi.org/10.1109/siu49456.2020.9302213
Publikováno v:
Procedia Computer Science. 158:426-435
This article introduces a novel computerized quantitative shape variation analysis of the abnormal proximal femurs in magnetic resonance imaging (MRI) slices for the Legg-Calve-Perthes Disease (LCPD) patients. The morphological shape variations of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5fd53e7862579f66b0b860ef2d4427cf
https://doi.org/10.1016/j.procs.2019.09.072
https://doi.org/10.1016/j.procs.2019.09.072