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.

Xehetasun bibliografikoak
Egile Nagusiak: Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Beste egile batzuk: Alam, Md. Ashraful
Formatua: Thesis
Hizkuntza:English
Argitaratua: Brac University 2021
Gaiak:
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
Sarrera elektronikoa:http://hdl.handle.net/10361/15737

Internet

http://hdl.handle.net/10361/15737

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