Zobrazeno 1 - 10 of 37 pro vyhledávání: '"Ashkan Tashk"'
1
Akademický článek
Epidemiological description and trajectories of patients with prostate cancer in Denmark: an observational study of 7448 patients
Autor: Victoria Blanes-Vidal, Ashkan Tashk, Manuella Lech Cantuaria, Rasmus Søgaard Hansen, Charlotte A. Poulsen, Mads H. Poulsen, Marie-Louise Krogh, Søren P. Sheikh, Esmaeil S. Nadimi
Publikováno v: BMC Research Notes, Vol 16, Iss 1, Pp 1-6 (2023)
Abstract Objective Identification of patients at high risk of aggressive prostate cancer is a major clinical challenge. With the view of developing artificial intelligence-based methods for identification of these patients, we are constructing a comp
Externí odkaz: https://doaj.org/article/28f4dec0e60745889c888a74da513a90
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2
Akademický článek
Modeling of Electronic Health Records for Time-Variant Event Learning Beyond Bio-Markers—A Case Study in Prostate Cancer
Autor: J. Herp, Jan-Matthias Braun, M. L. Cantuaria, Ashkan Tashk, T. B. Pedersen, M. H. A. Poulsen, M. Krogh, E. S. Nadimi, S. P. Sheikh
Publikováno v: IEEE Access, Vol 11, Pp 50295-50309 (2023)
Electronic health records (EHR) of large populations constitute a vast untapped resource for data-driven diagnosis and disease progression. We develop a model capable of predicting future steps in a patient’s journey for prostate cancer (PC) and it
Externí odkaz: https://doaj.org/article/fc77d292d62d4752abf4b720c9960f8e
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3
Akademický článek
AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images
Autor: Ashkan Tashk, Jürgen Herp, Thomas Bjørsum-Meyer, Anastasios Koulaouzidis, Esmaeil S. Nadimi
Publikováno v: Diagnostics, Vol 12, Iss 12, p 2952 (2022)
Semantic segmentation of biomedical images found its niche in screening and diagnostic applications. Recent methods based on deep learning convolutional neural networks have been very effective, since they are readily adaptive to biomedical applicati
Externí odkaz: https://doaj.org/article/01133c255267413da31dcfd9fcaf65a5
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4
Akademický článek
A Novel CAD System for Mitosis detection Using Histopathology Slide Images
Autor: Ashkan Tashk, Mohammad Sadegh Helfroush, Habibollah Danyali, Mojgan Akbarzadeh
Publikováno v: Journal of Medical Signals and Sensors, Vol 4, Iss 2, Pp 139-149 (2014)
Histopathology slides are one of the most applicable resources for pathology studies. As observation of these kinds of slides even by skillful pathologists is a tedious and time-consuming activity, computerizing this procedure aids the experts to hav
Externí odkaz: https://doaj.org/article/b78772ae934241fba1c12372cb07ac1b
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6
An Innovative Polyp Detection Method from Colon Capsule Endoscopy Images Based on A Novel Combination of RCNN and DRLSE
Autor: Esmaeil S. Nadimi, Ashkan Tashk
Publikováno v: Tashk, A & S. Nadimi, E 2020, An Innovative Polyp Detection Method from Colon Capsule Endoscopy Images Based on A Novel Combination of RCNN and DRLSE . in 2020 IEEE Congress on Evolutionary Computation (CEC) . IEEE, 2020 IEEE Congress on Evolutionary Computation, CEC 2020, Virtual, Glasgow, United Kingdom, 19/07/2020 . https://doi.org/10.1109/CEC48606.2020.9185629
CEC
Background: Direct detection of polyps from colon capsule endoscopy (CCE) videos is an ultimate goal not only for physicians but also for biomedical engineers who are working on automatic internal lesions like polyps. There is also a great enthusiasm
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac094c9ba6372e48c3f7eaf2eda94827
https://portal.findresearcher.sdu.dk/da/publications/0941a6ac-1c81-4315-887b-dc6ac0e5398a
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7
A Novel Study of Lichen Planopilaris Among Different Iranian Ethnicities based on Computer-aided Programs
Autor: Parvin Mansouri, Maryamsadat Nejadghaderi, Ashkan Tashk, Zahra Safaei Naraghi
Publikováno v: Nejadghaderi, M, Tashk, A, Mansouri, P & Safaei Naraghi, Z 2020, ' A Novel Study of Lichen Planopilaris Among Different Iranian Ethnicities based on Computer-aided Programs ', International Journal of Computer Science and Information Technology, vol. 12, no. 4, pp. 81-88 . https://doi.org/10.5121/ijcsit.2020.12407
Introduction: Demographic studies of a disease can reveal the characteristics of that disease among a specific population and will help the physicians to achieve a more accurate perception about it.The demographic of Lichen PlanoPilaris (LPP) among t
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1070c4d49d48c7a31c5a74942d0aa4aa
https://portal.findresearcher.sdu.dk/da/publications/8f21837c-11ab-45c7-b567-1aca52160de9
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8
Biomedical Study of Demographics and Clinical Features of Lichen Planopilaris among the Iranian Population
Autor: Parvin Mansouri, Ashkan Tashk, Maryamsadat Nejadghaderi, Zahra Safaei Naraghi
Publikováno v: Nejadghaderi, M, Tashk, A, Mansouri, P & Naraghi, Z 2020, Biomedical Study of Demographics and Clinical Features of Lichen Planopilaris Among the Iranian Population . in D C Wyld & D Nagamalai (eds), Computer Science & Information Technology : International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2020) . AIRCC Publishing Corporation, Computer Science and Information Technology, no. 8, vol. 10, pp. 33-39, International Conference on Soft Computing, Artificial Intelligence and Machine Learning (SAIM 2020), Copenhagen, Denmark, 27/06/2020 . https://doi.org/10.512/csit.2020.100804
Introduction: The demographic of Lichen PlanoPilaris (LPP) among the Iranian population is unknown. The aim of this study is to describe the clinical, demographic, and histopathologic findings of lichen planopilaris in the Iranian population. Method:
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::458e52e3df07f62feb6c1fc5bc69b1cd
https://doi.org/10.5121/csit.2020.100804
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9
An Innovative Practical Automatic Segmentation of Ultrasound Computer Tomography Images Acquired from USCT System
Autor: Ashkan Tashk, Nicole V. Ruiter, Torsten Hopp
Publikováno v: Iranian Journal of Science and Technology, Transactions of Electrical Engineering. 43:167-180
A 3D ultrasound computer tomography (USCT) device with a nearly isotropic and spatially invariant 3D point spread function has been constructed at Institute for Data Processing and Electronic (IPE), Karlsruhe Institute of Technology (KIT). This devic
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b60a7bea9e1068b10c33ed6b1c31393f
https://doi.org/10.1007/s40998-018-0098-9
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10
Optimized clinical segmentation of retinal blood vessels by using combination of adaptive filtering, fuzzy entropy and skeletonization
Autor: Khosro Rezaee, Javad Haddadnia, Ashkan Tashk
Publikováno v: Applied Soft Computing. 52:937-951
Display OmittedThe block diagram of the proposed system. Occasionally certain areas in the retina can be questionable for physicians which can lead to wrong interpretations for patients.A method is proposed that introduces a higher ability of segment
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9481e5a3cf4e3faa511e56c4c0892a4a
https://doi.org/10.1016/j.asoc.2016.09.033
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