Machine Learning for Brain Images Classification of Two Language Speakers
المؤلف
Barranco-Gutiérrez, Alejandro-Israel
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-06-06
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
The image analysis of the brain with machine learning continues to be a relevant work for the detection of different characteristics of this complex organ.
Recent research has observed that there are differences in the structure of the brain, specifically in white matter, when learning and using a second language.
This work focuses on knowing the brain from the classification of Magnetic Resonance Images (MRIs) of bilingual and monolingual people who have English as their common language.
Different artificial neural networks of a hidden layer were tested until reaching two neurons in that layer.
The number of entries used was nine hundred and the classifier registered a high percentage of effectiveness.
The training was supervised which could be improved in a future investigation.
This task is usually carried out by an expert human with Tract-Based Spatial Statistics analysis and fractional anisotropy expressed in different colors on a screen.
So, this proposal presents another option to quantitatively analyse this type of phenomena which allows to contribute to neuroscience by automatically detecting bilingual people of monolinguals by using machine learning from MRIs.
This reinforces what is reported in manual detections and the way that a machine can do it.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Barranco-Gutiérrez, Alejandro-Israel. 2020. Machine Learning for Brain Images Classification of Two Language Speakers. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1138976
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Barranco-Gutiérrez, Alejandro-Israel. Machine Learning for Brain Images Classification of Two Language Speakers. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1138976
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Barranco-Gutiérrez, Alejandro-Israel. Machine Learning for Brain Images Classification of Two Language Speakers. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1138976
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138976
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر