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.

Dades bibliogràfiques
Autors principals:	Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Altres autors:	Alam, Md. Ashraful
Format:	Thesis
Idioma:	English
Publicat:	Brac University 2021
Matèries:	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
Accés en línia:	http://hdl.handle.net/10361/15737

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