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.

Detalles Bibliográficos
Main Authors: Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Outros autores: Alam, Md. Ashraful
Formato: Thesis
Idioma:English
Publicado: Brac University 2021
Subjects:
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
Acceso en liña:http://hdl.handle.net/10361/15737

Internet

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

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