نتایج جستجو برای: Mass Detection

تعداد نتایج: 1017868  

Journal: :asia pacific journal of medical toxicology 0
abbas zavar addiction research centre, mashhad university of medical sciences, mashhad, iranسازمان اصلی تایید شده: دانشگاه علوم پزشکی مشهد (mashhad university of medical sciences) bahman alimoradi syb institute of preventive medicine, mashhad, iran lida jarrahi addiction research centre, mashhad university of medical sciences, mashhad, iranسازمان اصلی تایید شده: دانشگاه علوم پزشکی مشهد (mashhad university of medical sciences) nafiseh khosravi syb institute of preventive medicine, mashhad, iran

background: alcohol consumption is one of the main health problems in most countries. the purpose of the present study is to evaluate the reliability and validity of alcohol use disorders identification test (audit). methods: by employing the method of available sampling, 70 alcoholic patients were included as case group and 70 normal age, gender and education matched individuals were also incl...

Journal: :iranian journal of medical physics 0
nima sahba master of science in biomedical engineering, research center for science and technology in medicine, islamic azad university, tehran, iran alireza ahmadian associate professor in biomedical engineering and physics, research center for science and technology in medicine, tehran university of medical sciences, tehran, iran nader riahi alam associate professor in biomedical engineering and physics, research center for science and technology in medicine, tehran university of medical sciences, tehran, iran masoumeh giti radiologist, imaging center, imam khomeini hospital, tehran university of medical sciences, tehran, iran

introduction:  breast  cancer  is  a  leading  cause  of  death  among  females  throughout  the  world.  currently,  radiologists are able to detect only 75% of breast cancer cases. making use of computer-aided design (cad)  can play an important role in helping radiologists perform more accurate diagnoses.   material and methods: using our hybrid method, the background and the pectoral muscle...

رحیمی, مهسا, قاسمی, سیما, میرترابی, محمدتقی, نجفی‌شوشتری, سیدابوذر,

The aim of the present work is detection of galaxy clusters based on weak gravitational lensing method. We apply mass aperture statistics method to 0.32 square degrees data obtained with the WFI@MPG/ESO 2.2 m telescope and detect mass peaks based on their mass not the luminosity. So by the application of proper filter function, shear profile and mass map are produced. Finally mass peaks with hi...

ژورنال: اعتیاد پژوهی 2014
رضایی, محسن, غلامی, مرتضی,

Objective: It has been greatly attempted to learn more about chemical information on finger prints using new vehicular technique use for the detection of a variety of substances, including narcotic drugs and medicines, as well using nano particles bound to specific antibodies. Over the last few years, the sensitive techniques of gas chromatography and mass spectrometry have been found for the d...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه شهید بهشتی 1388

چکیده ندارد.

Journal: :Korean Journal of Radiology 2005

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

2005
Serhat Özekes Onur Osman A.Yilmaz Çamurcu

OBJECTIVE The purpose of this study was to develop a new method for automated mass detection in digital mammographic images using templates. MATERIALS AND METHODS Masses were detected using a two steps process. First, the pixels in the mammogram images were scanned in 8 directions, and regions of interest (ROI) were identified using various thresholds. Then, a mass template was used to catego...

2002
Marius George Linguraru Konstantinos Marias Michael Brady

We present a method to prompt a clinician to "suspicious" dense regions in temporal mammogram sequences. The particular context that we envisage is mammogram screening, when the clinician compares the most recent mammogram to previous ones in order to detect significant changes. The method uses anisotropic filtering as a pre-processing step in order to significantly reduce the number of candida...

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