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.

Opis bibliograficzny
Główni autorzy:	Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Kolejni autorzy:	Alam, Md. Ashraful
Format:	Praca dyplomowa
Język:	English
Wydane:	Brac University 2021
Hasła przedmiotowe:	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
Dostęp online:	http://hdl.handle.net/10361/15737

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