Automatic Identification of chromosomal abnormalities in metaphase karyotype Using paired images in human chromosomes

سال انتشار: 1394
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 540

فایل این مقاله در 8 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

KBEI02_110

تاریخ نمایه سازی: 5 بهمن 1395

چکیده مقاله:

Identification of chromosomal abnormalities is necessary part of diagnosis and treatment of genetic disorders and some cancers. Cytogenetic is a preferred tool in the diagnosis of genetic diseases. In cytogenetic, karyotype which is a systematic representation of human chromosomes is obtained through imaging a nucleus of cell using optical microscopes. And undergoes an analysis in which chromosomes are sorted based on morphological features. At presents this analysis is carried by lab technician through eye technique which is time-consuming and prone to error.This research aims to find automatic identification of chromosomal abnormalities in human karyotypes.The main step in main automation of this method is to define some morphological features for each chromosome.In this method, we can find the presence or absence of abnormalities or chromosomal deviations by determining the position of centromere automatically with length, the ratio of short arm to long arm of each chromosome and its comparison with the range of standard deviation in normal chromosome. This method was tested on 40 karyotype images of patients and all types of abnormalities were detected in human karyotypes, except for cases of displaced abnormality between two pieces of chromosome with similar size in two similar arms (P or q).

نویسندگان

Saeid Abbase

M.SC, Department of Computer Engineering Islamic Azad University Hamedan, Iran

Hassan Khotanlou

PhD, Associat Professor Department of Computer Engineering, Buali Sina University, Hamedan, Iran

Atefeh Asgari

Cytogenetics laboratory Technician Beheshti Hospital Hamedan, Iran

Mahlagha Afrasiabi

PhD, Computer Engineering Department of Computer Engineering Buali Sina University Hamedan, Iran

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • _ Read, T.S.a.A., Human Molecular Genetics. 2010, G. Science, Editor. ...
  • . Piper, J., Genetic algorithm for applying constraints in chromosome ...
  • . Boehm, D., et al., Rapid detection of subtelomerc del ...
  • . Moradi, M., S. Setarehdan, and S. Ghaffari. Automatic landmark ...
  • . _ _ _ _ _ _ _ human chromosome ...
  • . Moradi, M., S.K. Setarehdan, and S. Ghaffari. Automatic locating ...
  • . Loganathan, E., M. Anuja, and N. Madian. Analysis of ...
  • . Arachchige, A.S., et al. An image processing algorithm for ...
  • . _ _ _ _ _ _ [13]. _ _ ...
  • Copyright Notice is: 978-1 -4673-6506-2/ 5/831 _ 00 G2015 IEEE ...
  • نمایش کامل مراجع