Cancer survival rate prediction using residual neural network on 3D non-spatial data

Improved cancer prognosis is an important goal of precision health medicine. Triple negative breast cancer (TNBC), being an aggressive form of cancer, requires novel and effective treatment. Deep Learning and its ability to model complex data inputs presents itself as a useful candidate for this app...

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Bibliographic Details
Main Author: Chua, Yue Da
Other Authors: Cai Yiyu
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
Subjects:
Online Access:https://hdl.handle.net/10356/138613
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Institution: Nanyang Technological University
Language: English
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