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Title
Deep Learning Role in Early Diagnosis of Prostate Cancer
Authors
Keywords
-
Journal
TECHNOLOGY IN CANCER RESEARCH & TREATMENT
Volume 17, Issue -, Pages 153303461877553
Publisher
SAGE Publications
Online
2018-05-28
DOI
10.1177/1533034618775530
References
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Related references
Note: Only part of the references are listed.- Cancer statistics, 2016
- (2016) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Deep Learning of Part-Based Representation of Data Using Sparse Autoencoders With Nonnegativity Constraints
- (2016) Ehsan Hosseini-Asl et al. IEEE Transactions on Neural Networks and Learning Systems
- Two-Stage Learning to Predict Human Eye Fixations via SDAEs
- (2016) Junwei Han et al. IEEE Transactions on Cybernetics
- Automated prostate cancer detection usingT2-weighted and high-b-value diffusion-weighted magnetic resonance imaging
- (2015) Jin Tae Kwak et al. MEDICAL PHYSICS
- Computer-Aided Detection of Prostate Cancer in MRI
- (2014) Geert Litjens et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Apparent diffusion coefficient ratio correlates significantly with prostate cancer gleason score at final pathology
- (2014) Lars Boesen et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Clinical use of novel urine and blood based prostate cancer biomarkers: A review
- (2013) S. Dijkstra et al. CLINICAL BIOCHEMISTRY
- Representation Learning: A Review and New Perspectives
- (2013) Y. Bengio et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Diffusion-weighted MRI and its role in prostate cancer
- (2013) Tsutomu Tamada et al. NMR IN BIOMEDICINE
- Apparent Diffusion Coefficient and Beyond: What Diffusion MR Imaging Can Tell Us about Tissue Structure
- (2013) Denis Le Bihan RADIOLOGY
- Quantitative Analysis of Multiparametric Prostate MR Images: Differentiation between Prostate Cancer and Normal Tissue and Correlation with Gleason Score—A Computer-aided Diagnosis Development Study
- (2013) Yahui Peng et al. RADIOLOGY
- Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 tesla endorectal, in vivo T2-weighted MR imagery
- (2012) Satish E. Viswanath et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- Prostate Cancer: Computer-aided Diagnosis with Multiparametric 3-T MR Imaging—Effect on Observer Performance
- (2012) Thomas Hambrock et al. RADIOLOGY
- Diffusion weighted imaging in prostate cancer
- (2010) Cher Heng Tan et al. EUROPEAN RADIOLOGY
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