Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features

Multi-Center Validation Study of Automated Classification of Pathological Slowing in Adult Scalp Electroencephalograms Via Frequency Features

10.1142/S0129065721500167

محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Peh, Wei Yan, Thomas, John, Bagheri, Elham, Chaudhari, Rima, Karia, Sagar, Rathakrishnan, Rahul, Saini, Vinay, Shah, Nilesh, Srivastava, Rohit, Tan, Yee-Leng, Dauwels, Justin
مؤلفون آخرون:	MEDICINE
التنسيق:	مقال
اللغة:	English
منشور في:	WORLD SCIENTIFIC PUBL CO PTE LTD 2021
الموضوعات:	Science & Technology Technology Computer Science, Artificial Intelligence Computer Science Electroencephalogram EEG slowing EEG classification slowing detection deep learning CNN multi-center study QUANTITATIVE EEG STROKE WAVES
الوصول للمادة أونلاين:	https://scholarbank.nus.edu.sg/handle/10635/205889
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
المؤسسة:	National University of Singapore
اللغة:	English

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