Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Babak Azad"'
Autor:
Saif Aldeen Alryalat, Mohammad Al-Antary, Yasmine Arafa, Babak Azad, Cornelia Boldyreff, Tasneem Ghnaimat, Nada Al-Antary, Safa Alfegi, Mutasem Elfalah, Mohammed Abu-Ameerh
Publikováno v:
Diagnostics, Vol 12, Iss 2, p 312 (2022)
Diabetic macular edema (DME) is the most common cause of visual impairment among patients with diabetes mellitus. Anti-vascular endothelial growth factors (Anti-VEGFs) are considered the first line in its management. The aim of this research has been
Externí odkaz:
https://doaj.org/article/db40b217d92141b0991423d9fe501500
Autor:
Anubha Gupta, Shiv Gehlot, Shubham Goswami, Sachin Motwani, Ritu Gupta, Álvaro García Faura, Dejan Štepec, Tomaž Martinčič, Reza Azad, Dorit Merhof, Afshin Bozorgpour, Babak Azad, Alaa Sulaiman, Deepanshu Pandey, Pradyumna Gupta, Sumit Bhattacharya, Aman Sinha, Rohit Agarwal, Xinyun Qiu, Yucheng Zhang, Ming Fan, Yoonbeom Park, Daehong Lee, Joon Sik Park, Kwangyeol Lee, Jaehyung Ye
Publikováno v:
Medical image analysis. 83
Multiple Myeloma (MM) is an emerging ailment of global concern. Its diagnosis at the early stages is critical for recovery. Therefore, efforts are underway to produce digital pathology tools with human-level intelligence that are efficient, scalable,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8da1d8c683eab7884bed03d7f4673a36
https://pubmed.ncbi.nlm.nih.gov/36403309
https://pubmed.ncbi.nlm.nih.gov/36403309
Publikováno v:
Expert Systems with Applications. 209:118383
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a116f1f48cdb616c8e5cfa378c26939f
https://doi.org/10.1016/j.eswa.2022.118383
https://doi.org/10.1016/j.eswa.2022.118383
Publikováno v:
International Journal of Modern Education and Computer Science. 6:66-74
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a3a4ec71143e3c82368e5281d15b831
https://doi.org/10.5815/ijmecs.2014.08.08
https://doi.org/10.5815/ijmecs.2014.08.08
Publikováno v:
International Journal in Foundations of Computer Science & Technology. 4:37-48
At the present time, hand gestures recognition system could be used as a more expected and useable approach for human computer interaction. Automatic hand gesture recognition system provides us a new tactic for interactive with the virtual environmen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0812628d415ed0643c0aab47ad895e2f
https://doi.org/10.5121/ijfcst.2014.4403
https://doi.org/10.5121/ijfcst.2014.4403
Autor:
Reza Azad, Babak Azad
Publikováno v:
International Journal of Image, Graphics and Signal Processing. 6:25-31
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a727f12a62530f5f2c4f4b602cea3b1
https://doi.org/10.5815/ijigsp.2014.08.04
https://doi.org/10.5815/ijigsp.2014.08.04
Publikováno v:
International Journal on Cybernetics & Informatics. 3:1-10
Recognition of Persian handwritten characters has been considered as a significant field of research for the last few years under pattern analysing technique. In this paper, a new approach for robust handwritten Persian numerals recognition using str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a5f10caf738c0e400c3d8fccb87cd13
https://doi.org/10.5121/ijci.2014.3301
https://doi.org/10.5121/ijci.2014.3301
Autor:
Babak Azad, Eslam Ahmadzade
Publikováno v:
International Journal of Research in Computer Science. 4:11-17
License plate recognition system is one of the core technologies in intelligent traffic control. In this paper, a new and tunable algorithm which can detect multiple license plates in high resolution applications is proposed. The algorithm aims at in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b38505cddef995e2a24001516589777e
https://doi.org/10.7815/ijorcs.42.2014.080
https://doi.org/10.7815/ijorcs.42.2014.080
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9788132220084
Automatic human face detection is a challenging problem which has received much attention during recent years. In this paper, we propose a method that includes a denoising preprocessing step and a new face detection approach based on skin color fusio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18128dfcfcb2f340bcb919774223d07b
https://doi.org/10.1007/978-81-322-2009-1_49
https://doi.org/10.1007/978-81-322-2009-1_49
Publikováno v:
Tehran University Medical Journal, Vol 73, Iss 7, Pp 491-500 (2015)
Background: Magnetic resonance imaging (MRI) is widely applied for examination and diagnosis of brain tumors based on its advantages of high resolution in detecting the soft tissues and especially of its harmless radiation damages to human bodies. Th
Externí odkaz:
https://doaj.org/article/5293d1e1190749d1a24c9eb4b1dcaa13