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.

Bibliografiska uppgifter
Huvudupphovsmän: Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Övriga upphovsmän: Alam, Md. Ashraful
Materialtyp: Lärdomsprov
Språk:English
Publicerad: Brac University 2021
Ämnen:
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
Länkar:http://hdl.handle.net/10361/15737

Internet

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

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