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.

Bibliografische gegevens
Hoofdauteurs: Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Andere auteurs: Alam, Md. Ashraful
Formaat: Thesis
Taal:English
Gepubliceerd in: Brac University 2021
Onderwerpen:
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 toegang:http://hdl.handle.net/10361/15737

Internet

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

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