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.

Opis bibliograficzny
Główni autorzy:	Farzana, Maisha, Any, Md. Jahid Hossain
Kolejni autorzy:	Parvez, Mohammad Zavid
Format:	Praca dyplomowa
Język:	en_US
Wydane:	Brac University 2021
Hasła przedmiotowe:	Brain Tumor Semantic Segmentation MRI CNN Pre-processing Autoencoder U-Net Architecture
Dostęp online:	http://hdl.handle.net/10361/14459

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