Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Kenan Kaan Kurt"'
Publikováno v:
2019 Medical Technologies Congress (TIPTEKNO).
Pectus excavatum is the condition of a person's chest. This article introduces a cloud-based software-supported approach using medical images of the patient instead of a traditional approach to this anomaly. In this way, it is aimed to shorten the op
Autor:
Saffet Baris Karaca, Huseyin Tanzer Atay, Kenan Kaan Kurt, Mustafa Alpkan Cicek, Serkan Turkeli
Publikováno v:
2019 International Artificial Intelligence and Data Processing Symposium (IDAP).
The aim of this article is to reveal the importance of multi-disciplinary perspective in data science. For this aim, the authors applied the survival analysis method developed in the health sector to the telecommunication sector data. As a result of
Publikováno v:
2019 International Artificial Intelligence and Data Processing Symposium (IDAP).
The main goal of this paper is to control a mobile autonomous vehicle by studying EEG signals and their properties. EEG signals are analyzed to classify an example dataset provided by Internet resources. Different feature extraction methods were appl
Publikováno v:
Current Thoracic Surgery. 5:54
Autor:
Saffet Baris Karaca, Mustafa Alpkan Cicek, Serkan Turkeli, Kenan Kaan Kurt, Huseyin Tanzer Atay
Publikováno v:
2018 International Conference on Artificial Intelligence and Data Processing (IDAP).
In role based access systems, it is mandatory to collect and process the user data to ensure the reliability along with the security of the system. Moreover, it helps to improve the user-experience of the system. Before processing data, it is crucial
Publikováno v:
2017 International Artificial Intelligence and Data Processing Symposium (IDAP).
Finding similar diagnoses for the same region are vital for patients. In this paper, we aim to find the similarity radiology reports based on bag-of-words (BoW) and Fuzzy C-Means Clustering methods. A double-layer structure is applied. Firstly, extra
Publikováno v:
Studies in health technology and informatics. 237
Falling is a major problem among the people globally, frequently due to some health problems including vision loss or balance disorder as a consequence of aging. As a result of the falling in elder people; injuries, complications, neurological proble
Publikováno v:
Studies in health technology and informatics. 228
This study is trying to assess methods commonly used in content-based image retrieval (CBIR) for screening mammography analysis. A database consists of 12 different BI-RADS classes related to breast density patterns of mammogram patches which are tak
Publikováno v:
Studies in health technology and informatics. 224
A fall is a multifactorial phenomenon which cause an increase in both mortality and injury rates. The cause of a fall is mostly related to loss in reflexes especially in older ages. A number of large prospective studies shows that elderly patients ha