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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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2020
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| Online Access: | https://hdl.handle.net/10356/138613 |