Deep Learning Role in Early Diagnosis of Prostate Cancer

The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted magnetic resonance imaging collected at multiple b v...

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Vydané v:	Technology in cancer research & treatment Ročník 17; s. 1533034618775530
Hlavní autori:	Reda, Islam, Khalil, Ashraf, Elmogy, Mohammed, Abou El-Fetouh, Ahmed, Shalaby, Ahmed, Abou El-Ghar, Mohamed, Elmaghraby, Adel, Ghazal, Mohammed, El-Baz, Ayman
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Los Angeles, CA SAGE Publications 01.01.2018 Sage Publications Ltd
Predmet:	Algorithms Antigens Deep Learning Diffusion Magnetic Resonance Imaging Early Detection of Cancer - methods Humans Image Interpretation, Computer-Assisted Male NMR Nuclear magnetic resonance Prostate cancer Prostatic Neoplasms - diagnosis Reproducibility of Results ROC Curve Sensitivity and Specificity Special Collection on Deep Learning in Molecular Imaging–Research Paper ADC prostate cancer SNCSAE CAD PSA
ISSN:	1533-0346, 1533-0338, 1533-0338
On-line prístup:	Získať plný text
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