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.

Bibliographische Detailangaben
Hauptverfasser:	Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Weitere Verfasser:	Alam, Md. Ashraful
Format:	Abschlussarbeit
Sprache:	English
Veröffentlicht:	Brac University 2021
Schlagworte:	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 Zugang:	http://hdl.handle.net/10361/15737

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