Feature Fusion of Raman Chemical Imaging and Digital Histopathology using Machine Learning for Prostate Cancer Detection

The diagnosis of prostate cancer is challenging due to the heterogeneity of its presentations, leading to the over diagnosis and treatment of non-clinically important disease. Accurate diagnosis can directly benefit a patient's quality of life and prognosis. Towards addressing this issue, we pr...

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Veröffentlicht in:	arXiv.org 2021-01
Hauptverfasser:	Doherty, Trevor, McKeever, Susan, Al-Attar, Nebras, Murphy, Tiarnan, Aura, Claudia, Rahman, Arman, O'Neill, Amanda, Finn, Stephen P, Kay, Elaine, Gallagher, William M, Watson, R William G, Gowen, Aoife, Jackman, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Diagnosis Diagnostic systems Digital imaging Heterogeneity Histopathology Machine learning Medical imaging Model accuracy Prostate cancer Raman spectra Raman spectroscopy Sensitivity Spectrum analysis Statistical methods
Online-Zugang:	Volltext
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