2016 Medical Technologies National Congress (TIPTEKNO)最新文献_第6页

Comparison of automatic and manuel readings for CDMAM phantom images CDMAM幻像的自动和手动读数的比较

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863083

Nedim Muzoglu, Ömer Sayli, Ö. Gündoğdu, Melike Kaya Karaaslan, Hakan Oruç

引用次数: 0

A new radiation dose measurement approach for X-ray units on biomedical technical service applications: A study of radiology 生物医学技术服务中x射线装置辐射剂量测量新方法:放射学研究

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863127

Ahmet Tartar, A. Akan

引用次数: 0

Type-2 fuzzy inference system design for computer aided detection in mammogram image 乳腺x线图像计算机辅助检测的二类模糊推理系统设计

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863068

Volkan Goreke, E. Uzunhisarcikli, B. Oztoprak

{"title":"Type-2 fuzzy inference system design for computer aided detection in mammogram image","authors":"Volkan Goreke, E. Uzunhisarcikli, B. Oztoprak","doi":"10.1109/TIPTEKNO.2016.7863068","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863068","url":null,"abstract":"Nowadays the detection of cancer of the breast mass X-ray mammography is widely used by radiologists. This computer-aided system images used by physicians in the interpretation raises the accomplishments of physicians identified masses. Work on computer-aided detection systems consisting of basic image processing and classification section is still in progress. Different methods such as artificial neural networks and support vector machine structure is widely used in mass classification. Previous work in our open access has MIAS containing mass from the database and free mammogram images on image processing techniques and three texture attribute in the second degree by using statistical analysis and derived value statistics of these attributes, attributes, and type-1 fuzzy using Matlab fuzzy toolbox with statistical values inference system is designed. In this study, the standard deviation of the data set using a statistical method on each attribute data set used for type-1 system is calculated. These values are used as the footprint of the uncertainty of the type-2 system parameters. These data sets and data sets related to each piece of histogram chart with type-2 fuzzy inference system was conducted as separate software. We have tested our system type-2 fuzzy inference system has produced more successful than type-1 fuzzy inference system.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121439287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Obtaining resting state networks in early onset schizophrenia disease by Independent Component Analysis 通过独立成分分析获得早发性精神分裂症疾病的静息状态网络

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863113

Ş. Benli, Semra Içer, Esra Özdemirci, K. Gümüş, S. Doğanay

{"title":"Obtaining resting state networks in early onset schizophrenia disease by Independent Component Analysis","authors":"Ş. Benli, Semra Içer, Esra Özdemirci, K. Gümüş, S. Doğanay","doi":"10.1109/TIPTEKNO.2016.7863113","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863113","url":null,"abstract":"Schizophrenia is a mental illness which usually begins in adolescence and can display important disorders of feelings, thoughts, and behavior. Delusion, hallucinations, and disorganized speech and behavior are some of the specific symptoms of schizophrenia. It is indicated that schizophrenia can be confused with other psychiatric disorders such as attention deficit hyperactivity disorder and mood disorder. Advanced magnetic resonance (MR) imaging methods are applied in the diagnosis of psychiatric illnesses due to the inadequacy of conventional anatomic imaging in the diagnosis of psychiatric disorders. Functional MRI which is an advanced MR imaging technique enables mapping of brain regions showing activation at rest or during task related events. This preliminary study investigated functional connectivity differences in some of resting state networks (anterior attention network, temporal network, audio network, and the default mode network) in early onset schizophrenia patients and children of control group (typically development) using resting state functional MRI method. This preliminary study aimed to contribute to the characterization of schizophrenia disease by identifying the specific changes that occur in the resting state networks of schizophrenia brain.","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116037040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Blocking of weak signal propagation via autaptic transmission in scale-free neuronal networks 无标度神经网络中自适应传输对弱信号传播的阻断

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863093

Veli Baysal, Ergin Yılmaz, M. Özer

引用次数: 0

Classification of skin lesions using ANN 基于神经网络的皮肤病变分类

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863095

U. Fidan, İsmail Sarı, Raziye Kübra Kumrular

引用次数: 11

Feature extraction and classification in a two-state brain-computer interface 双态脑机接口的特征提取与分类

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863118

Fatih Altindis, Bülent Yilmaz

引用次数: 4

Computed aided detection of traumatized kidneys in CT images 损伤肾CT图像的计算机辅助检测

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863116

Gokalp Tulum, U. Teomete, T. Ergin, Özgür Dandin, Ferhat Cüce, O. Osman

引用次数: 0

Clean room classification in the operating room 手术室洁净室分类

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863107

M. Sezdi, Yavuz Üzcan

{"title":"Clean room classification in the operating room","authors":"M. Sezdi, Yavuz Üzcan","doi":"10.1109/TIPTEKNO.2016.7863107","DOIUrl":"https://doi.org/10.1109/TIPTEKNO.2016.7863107","url":null,"abstract":"The operating rooms are known as clean rooms because it must have the high quality air without the dust and the particles. In the clean room, the dust that is sourced from both the personnel and the patient and the machines, causes the risk of infection. By using the temiz-hava system, it is seen that the percent of infection risk decreases. But, this clean air system must be controlled by using the method of “the clean room classification”. The classification of the clean room is determined by the international standard of particle measurements. The main criteria for the classification of clean rooms is particle dimension, particle concentration, measurement points and measurement repetition. By using nonstandard particle measurements, the true classification is not possible because all measurements are taken only from the filters and the main criterias are not considered. The purpose of this study was to develope a standard particle measurement procedure by using measures in accordance with standard, and to achieve standardization for quality studies. In this study, the particles (0.1μm, 0.2μm, 0.3μm, 0.5μm, 1μm, 5μm and 10μm) in the operating rooms of Istanbul Medical Faculty in Istanbul University hospitals were measured by using a particle measurement device in accordance with ISO 14644 and they were interpreted in accordance with the same standard. During the study, a particle measurement procedure was established for Istanbul University Hospitals. Thus, the controls were provided standardly, and the generated particle measurement procedure was applied to all hospitals in Istanbul University (ITF, CTF, Oncology, Cardiology, Dental Health Faculty).","PeriodicalId":431660,"journal":{"name":"2016 Medical Technologies National Congress (TIPTEKNO)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130852032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Inverse kinematics solution of a new hybrid robot manipulator proposed for medical purposes 提出了一种新型医用混合机械臂的运动学逆解

2016 Medical Technologies National Congress (TIPTEKNO) Pub Date : 2016-10-01 DOI: 10.1109/TIPTEKNO.2016.7863076

S. Kucuk, B. Gungor

引用次数: 26