Detection of multiple sclerosis using deep learning

Detection of multiple sclerosis using deep learning

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.

Библиографические подробности
Главные авторы: Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Другие авторы: Alam, Md. Ashraful
Формат: Диссертация
Язык:English
Опубликовано: Brac University 2021
Предметы:
Magnetic Resonance Imaging(MRI)
Machine Learning
Multiple Scle- rosis(MS)
3D Magnetic Resonance Imaging
White Matter Lesion Detection
Deep Learning
Convolutional Neural Network(CNN)
Fluid-attenuated inversion recovery (FLAIR)
Data Augmentation
Image Processing
Online-ссылка:http://hdl.handle.net/10361/15737

Internet

http://hdl.handle.net/10361/15737

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