Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Bibliografiska uppgifter
Huvudupphovsmän: Farzana, Maisha, Any, Md. Jahid Hossain
Övriga upphovsmän: Parvez, Mohammad Zavid
Materialtyp: Lärdomsprov
Språk:en_US
Publicerad: Brac University 2021
Ämnen:
Brain Tumor
Semantic Segmentation
MRI
CNN
Pre-processing
Autoencoder
U-Net Architecture
Länkar:http://hdl.handle.net/10361/14459

Internet

http://hdl.handle.net/10361/14459

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