1331 related articles for article (PubMed ID: 29659067)
1. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
[TBL] [Abstract][Full Text] [Related]
2. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2.
Chen T; Li M; Gu Y; Zhang Y; Yang S; Wei C; Wu J; Li X; Zhao W; Shen J
J Magn Reson Imaging; 2019 Mar; 49(3):875-884. PubMed ID: 30230108
[TBL] [Abstract][Full Text] [Related]
3. Semi-automatic classification of prostate cancer on multi-parametric MR imaging using a multi-channel 3D convolutional neural network.
Aldoj N; Lukas S; Dewey M; Penzkofer T
Eur Radiol; 2020 Feb; 30(2):1243-1253. PubMed ID: 31468158
[TBL] [Abstract][Full Text] [Related]
4. Fully automatic segmentation on prostate MR images based on cascaded fully convolution network.
Zhu Y; Wei R; Gao G; Ding L; Zhang X; Wang X; Zhang J
J Magn Reson Imaging; 2019 Apr; 49(4):1149-1156. PubMed ID: 30350434
[TBL] [Abstract][Full Text] [Related]
5. Using support vector machine analysis to assess PartinMR: A new prediction model for organ-confined prostate cancer.
Wang J; Wu CJ; Bao ML; Zhang J; Shi HB; Zhang YD
J Magn Reson Imaging; 2018 Aug; 48(2):499-506. PubMed ID: 29437268
[TBL] [Abstract][Full Text] [Related]
6. Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks.
Sujit SJ; Coronado I; Kamali A; Narayana PA; Gabr RE
J Magn Reson Imaging; 2019 Oct; 50(4):1260-1267. PubMed ID: 30811739
[TBL] [Abstract][Full Text] [Related]
7. Comparison of biparametric and multiparametric MRI in the diagnosis of prostate cancer.
Xu L; Zhang G; Shi B; Liu Y; Zou T; Yan W; Xiao Y; Xue H; Feng F; Lei J; Jin Z; Sun H
Cancer Imaging; 2019 Dec; 19(1):90. PubMed ID: 31864408
[TBL] [Abstract][Full Text] [Related]
8. [Preliminary applicability evaluation of Prostate Imaging Reporting and Data System version 2 diagnostic score in 3.0T multi-parameters magnetic resonance imaging combined with prostate specific antigen density for prostate cancer].
Zuo MZ; Zhao WL; Wei CG; Zhang CY; Wen R; Gu YF; Li MJ; Zhang YY; Wu JF; Li X; Shen JK
Zhonghua Yi Xue Za Zhi; 2017 Dec; 97(47):3693-3698. PubMed ID: 29325321
[No Abstract] [Full Text] [Related]
9. Prospective comparison of a fast 1.5-T biparametric with the 3.0-T multiparametric ESUR magnetic resonance imaging protocol as a triage test for men at risk of prostate cancer.
Van Nieuwenhove S; Saussez TP; Thiry S; Trefois P; Annet L; Michoux N; Lecouvet F; Tombal B
BJU Int; 2019 Mar; 123(3):411-420. PubMed ID: 30240059
[TBL] [Abstract][Full Text] [Related]
10. Prebiopsy multiparametric MRI-based risk score for predicting prostate cancer in biopsy-naive men with prostate-specific antigen between 4-10 ng/mL.
Dwivedi DK; Kumar R; Dwivedi AK; Bora GS; Thulkar S; Sharma S; Gupta SD; Jagannathan NR
J Magn Reson Imaging; 2018 May; 47(5):1227-1236. PubMed ID: 28872226
[TBL] [Abstract][Full Text] [Related]
11. Computer-aided diagnosis of prostate cancer based on deep neural networks from multi-parametric magnetic resonance imaging.
Yi Z; Ou Z; Hu J; Qiu D; Quan C; Othmane B; Wang Y; Wu L
Front Physiol; 2022; 13():918381. PubMed ID: 36105290
[No Abstract] [Full Text] [Related]
12. Multiparametric MRI in detection and staging of prostate cancer.
Boesen L
Dan Med J; 2017 Feb; 64(2):. PubMed ID: 28157066
[TBL] [Abstract][Full Text] [Related]
13. Computer aided detection in prostate cancer diagnostics: A promising alternative to biopsy? A retrospective study from 104 lesions with histological ground truth.
Thon A; Teichgräber U; Tennstedt-Schenk C; Hadjidemetriou S; Winzler S; Malich A; Papageorgiou I
PLoS One; 2017; 12(10):e0185995. PubMed ID: 29023572
[TBL] [Abstract][Full Text] [Related]
14. Clinically significant prostate cancer detection and segmentation in low-risk patients using a convolutional neural network on multi-parametric MRI.
Arif M; Schoots IG; Castillo Tovar J; Bangma CH; Krestin GP; Roobol MJ; Niessen W; Veenland JF
Eur Radiol; 2020 Dec; 30(12):6582-6592. PubMed ID: 32594208
[TBL] [Abstract][Full Text] [Related]
15. Transition zone prostate cancer: Logistic regression and machine-learning models of quantitative ADC, shape and texture features are highly accurate for diagnosis.
Wu M; Krishna S; Thornhill RE; Flood TA; McInnes MDF; Schieda N
J Magn Reson Imaging; 2019 Sep; 50(3):940-950. PubMed ID: 30701625
[TBL] [Abstract][Full Text] [Related]
16. A Transfer Learning Approach for Malignant Prostate Lesion Detection on Multiparametric MRI.
Chen Q; Hu S; Long P; Lu F; Shi Y; Li Y
Technol Cancer Res Treat; 2019 Jan; 18():1533033819858363. PubMed ID: 31221034
[TBL] [Abstract][Full Text] [Related]
17. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI.
Yang X; Liu C; Wang Z; Yang J; Min HL; Wang L; Cheng KT
Med Image Anal; 2017 Dec; 42():212-227. PubMed ID: 28850876
[TBL] [Abstract][Full Text] [Related]
18. An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
Hiremath A; Shiradkar R; Fu P; Mahran A; Rastinehad AR; Tewari A; Tirumani SH; Purysko A; Ponsky L; Madabhushi A
Lancet Digit Health; 2021 Jul; 3(7):e445-e454. PubMed ID: 34167765
[TBL] [Abstract][Full Text] [Related]
19. Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography.
Samala RK; Chan HP; Hadjiiski L; Helvie MA; Wei J; Cha K
Med Phys; 2016 Dec; 43(12):6654. PubMed ID: 27908154
[TBL] [Abstract][Full Text] [Related]
20. Autosegmentation of Prostate Zones and Cancer Regions from Biparametric Magnetic Resonance Images by Using Deep-Learning-Based Neural Networks.
Lai CC; Wang HK; Wang FN; Peng YC; Lin TP; Peng HH; Shen SH
Sensors (Basel); 2021 Apr; 21(8):. PubMed ID: 33921451
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
