Improving FTIR Spectroscopy-based Prostate Cancer Classification through Deep Learning.
Description preview
Project objectives:
Investigate the image processing and neural network methods that work best to perform various machine learning tasks on FTIR prostate cancer data.
Investigate the explainability of any developed techniques to aid reliability, increase trust from pathologists and clinicians, and increase chance of adoption in a clinical…
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