رسالة جامعية
Deep Learning For Automated Real-Time Detection And Segmentation Of Intestinal Lesions In Colonoscopies
العنوان: | Deep Learning For Automated Real-Time Detection And Segmentation Of Intestinal Lesions In Colonoscopies |
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المؤلفون: | BOUSSELHAM WALID |
المساهمون: | STATISTICS & APPLIED PROBABILITY, Jialiang Li |
سنة النشر: | 2020 |
المجموعة: | National University of Singapore: ScholarBank@NUS |
مصطلحات موضوعية: | Deep Learning, Machine Learning, healthcare, gastroenterology |
الوصف: | Master's ; MASTER OF SCIENCE (RSH-FOS) |
نوع الوثيقة: | thesis |
اللغة: | English |
العلاقة: | BOUSSELHAM WALID (2020-12-21). Deep Learning For Automated Real-Time Detection And Segmentation Of Intestinal Lesions In Colonoscopies. ScholarBank@NUS Repository.; https://scholarbank.nus.edu.sg/handle/10635/185986Test; orcid:0000-0002-9684-523X |
الإتاحة: | https://scholarbank.nus.edu.sg/handle/10635/185986Test |
رقم الانضمام: | edsbas.FD5652EB |
قاعدة البيانات: | BASE |
الوصف غير متاح. |