Maschinelles Lernen und multiparametrische MRT in der Früherkennung des Prostatakarzinoms
出版年份 2021 全文链接
标题
Maschinelles Lernen und multiparametrische MRT in der Früherkennung des Prostatakarzinoms
作者
关键词
-
出版物
UROLOGE
Volume -, Issue -, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-03-12
DOI
10.1007/s00120-021-01492-x
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Comparison of single-scanner single-protocol quantitative ADC measurements to ADC ratios to detect clinically significant prostate cancer
- (2021) Xianfeng Wang et al. EUROPEAN JOURNAL OF RADIOLOGY
- Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment
- (2020) Patrick Schelb et al. EUROPEAN RADIOLOGY
- Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System
- (2020) Patrick Schelb et al. ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN
- Prostate Magnetic Resonance Imaging, with or Without Magnetic Resonance Imaging-targeted Biopsy, and Systematic Biopsy for Detecting Prostate Cancer: A Cochrane Systematic Review and Meta-analysis
- (2019) Frank-Jan H. Drost et al. EUROPEAN UROLOGY
- Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment
- (2019) Patrick Schelb et al. RADIOLOGY
- MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis
- (2018) Veeru Kasivisvanathan et al. NEW ENGLAND JOURNAL OF MEDICINE
- Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values
- (2018) David Bonekamp et al. RADIOLOGY
- Correlation between genomic index lesions and mpMRI and 68Ga-PSMA-PET/CT imaging features in primary prostate cancer
- (2018) Claudia Kesch et al. Scientific Reports
- What Is the Negative Predictive Value of Multiparametric Magnetic Resonance Imaging in Excluding Prostate Cancer at Biopsy? A Systematic Review and Meta-analysis from the European Association of Urology Prostate Cancer Guidelines Panel
- (2017) Paul C. Moldovan et al. EUROPEAN UROLOGY
- Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study
- (2017) Hashim U Ahmed et al. LANCET
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations
- (2017) Jonathan H. Chen et al. NEW ENGLAND JOURNAL OF MEDICINE
- Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy
- (2016) Macedo Firmino et al. Biomedical Engineering Online
- PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2
- (2016) Jeffrey C. Weinreb et al. EUROPEAN UROLOGY
- Ultrastructural Characterization of the Lower Motor System in a Mouse Model of Krabbe Disease
- (2016) Valentina Cappello et al. Scientific Reports
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Measuring Computed Tomography Scanner Variability of Radiomics Features
- (2015) Dennis Mackin et al. INVESTIGATIVE RADIOLOGY
- Computer-aided classification of lung nodules on computed tomography images via deep learning technique
- (2015) Yu-Jen Yu-Jen Chen et al. OncoTargets and Therapy
- Advancements in MR Imaging of the Prostate: From Diagnosis to Interventions
- (2011) David Bonekamp et al. RADIOGRAPHICS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now