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.

Bibliografski detalji
Glavni autori:	Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Daljnji autori:	Alam, Md. Ashraful
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2021
Teme:	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 pristup:	http://hdl.handle.net/10361/15737

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