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.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Jannat, Sabila Al, Hoque, Tanjina, Supti, Nafisa Alam
Άλλοι συγγραφείς: Alam, Md. Ashraful
Μορφή: Thesis
Γλώσσα:English
Έκδοση: Brac University 2021
Θέματα:
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
Διαθέσιμο Online:http://hdl.handle.net/10361/15737

Διαδίκτυο

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

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