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.

Détails bibliographiques
Auteurs principaux:	Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Autres auteurs:	Alam, Md. Ashraful
Format:	Thèse
Langue:	English
Publié:	Brac University 2021
Sujets:	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
Accès en ligne:	http://hdl.handle.net/10361/15737

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