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

Internet

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

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