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.

Podrobná bibliografie
Hlavní autoři:	Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Další autoři:	Alam, Md. Ashraful
Médium:	Diplomová práce
Jazyk:	English
Vydáno:	Brac University 2021
Témata:	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
On-line přístup:	http://hdl.handle.net/10361/15737

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