Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Anil Genc"'
Publikováno v:
Forbes Tıp Dergisi, Vol 5, Iss 1, Pp 26-30 (2024)
Objective: The aim of this study was to determine the appropriate path to follow in the cystoscopic follow-up of patients with suspicious urine cytology but negative malignancy findings on cystoscopy. Methods: Data of 829 patients with bladder cancer
Externí odkaz:
https://doaj.org/article/724c5f21b1be45e98517d1a8454a5310
Autor:
Hazim Kemal Ekenel, Anil Genc
Publikováno v:
Multimedia Tools and Applications. 78:5843-5861
Over the past years, the impact of surveillance systems on public safety increases dramatically. One significant challenge in this domain is person re-identification, which aims to detect whether a person has already been captured by another camera i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0210c1fb93b0303d3b9d46221af663d
https://doi.org/10.1007/s11042-018-6409-3
https://doi.org/10.1007/s11042-018-6409-3
Publikováno v:
CVPR Workshops
In this paper, we present an end-to-end network, called Cycle-Dehaze, for single image dehazing problem, which does not require pairs of hazy and corresponding ground truth images for training. That is, we train the network by feeding clean and hazy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7491c66b47ad277e9ca847e74675af4f
https://doi.org/10.1109/cvprw.2018.00127
https://doi.org/10.1109/cvprw.2018.00127
Autor:
Cosmin Ancuti, Ruhao Zhao, Xiaoping Ma, Yong Qin, Limin Jia, Klaus Friedel, Sehwan Ki, Hyeonjun Sim, Jae-Seok Choi, Sooye Kim, Soomin Seo, Codruta O. Ancuti, Saehun Kim, Munchurl Kim, Ranjan Mondal, Sanchayan Santra, Bhabatosh Chanda, Jinlin Liu, Kangfu Mei, Juncheng Li, null Luyao, Faming Fang, Radu Timofte, Aiwen Jiang, Xiaochao Qu, Ting Liu, Pengfei Wang, Biao Sun, Jiangfan Deng, Yuhang Zhao, Ming Hong, Jingying Huang, Yizhi Chen, Luc Van Gool, Erin Chen, Xiaoli Yu, Tingting Wu, Anil Genc, Deniz Engin, Hazim Kemal Ekenel, Wenzhe Liu, Tong Tong, Gen Li, Qinquan Gao, Lei Zhang, Zhan Li, Daofa Tang, Yuling Chen, Ziying Huo, Aitor Alvarez-Gila, Adrian Galdran, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmo, H. Seckin Demir, Ming-Hsuan Yang, Omer Faruk Adil, Huynh Xuan Phung, Xin Jin, Jiale Chen, Chaowei Shan, Zhibo Chen, Vishal M. Patel, He Zhang, Vishwanath A. Sindagi
Publikováno v:
CVPR Workshops
This paper reviews the first challenge on image dehazing (restoration of rich details in hazy image) with focus on proposed solutions and results. The challenge had 2 tracks. Track 1 employed the indoor images (using I-HAZE dataset), while Track 2 ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d9e3f3ef6c9d767ddeb89eb923f58d0
https://doi.org/10.1109/cvprw.2018.00134
https://doi.org/10.1109/cvprw.2018.00134
Autor:
Anil Genc, Hazim Kemal Ekenel
Publikováno v:
SIU
Most of the studies that have been conducted on person re-identification utilizes a single dataset to train, validate, and test the proposed system. Although these subsets do not overlap, since they were collected under similar conditions, experiment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c9f197c034d130f169d8967c7a080cc
https://doi.org/10.1109/siu.2018.8404852
https://doi.org/10.1109/siu.2018.8404852
Autor:
B. Ugur Toreyin, Asli Cakir, Anil Genc, Hazim Kemal Ekenel, İlknur Türkmen, Abdulkerim Capar, Kaan Aykut Kabakci, Gozde Ayse Tataroglu
Publikováno v:
SIU
This study proposes a unique approach to classify CerbB2 tumor cell scores in breast cancer based on deep learning models. Another contribution of the study is the creation of a dataset from original breast cancer tissues. On the purpose of training,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b71ef826b70755afc03bbfa48ae6309b
https://doi.org/10.1109/siu.2017.7960587
https://doi.org/10.1109/siu.2017.7960587