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.

Detaylı Bibliyografya
Asıl Yazarlar:	Farzana, Maisha, Any, Md. Jahid Hossain
Diğer Yazarlar:	Parvez, Mohammad Zavid
Materyal Türü:	Tez
Dil:	en_US
Baskı/Yayın Bilgisi:	Brac University 2021
Konular:	Brain Tumor Semantic Segmentation MRI CNN Pre-processing Autoencoder U-Net Architecture
Online Erişim:	http://hdl.handle.net/10361/14459

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