BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

197 related articles for article (PubMed ID: 29727276)

  • 1. Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images Based on an End-to-End Deep Neural Network.
    Wang Z; Liu C; Cheng D; Wang L; Yang X; Cheng KT
    IEEE Trans Med Imaging; 2018 May; 37(5):1127-1139. PubMed ID: 29727276
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks.
    Le MH; Chen J; Wang L; Wang Z; Liu W; Cheng KT; Yang X
    Phys Med Biol; 2017 Jul; 62(16):6497-6514. PubMed ID: 28582269
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-aided diagnosis of prostate cancer on magnetic resonance imaging using a convolutional neural network algorithm.
    Ishioka J; Matsuoka Y; Uehara S; Yasuda Y; Kijima T; Yoshida S; Yokoyama M; Saito K; Kihara K; Numao N; Kimura T; Kudo K; Kumazawa I; Fujii Y
    BJU Int; 2018 Sep; 122(3):411-417. PubMed ID: 29772101
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.
    Cao R; Mohammadian Bajgiran A; Afshari Mirak S; Shakeri S; Zhong X; Enzmann D; Raman S; Sung K
    IEEE Trans Med Imaging; 2019 Nov; 38(11):2496-2506. PubMed ID: 30835218
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. MRI-based prostate cancer detection with high-level representation and hierarchical classification.
    Zhu Y; Wang L; Liu M; Qian C; Yousuf A; Oto A; Shen D
    Med Phys; 2017 Mar; 44(3):1028-1039. PubMed ID: 28107548
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization.
    Wang Z; Lin Y; Cheng KT; Yang X
    Med Image Anal; 2020 Jan; 59():101565. PubMed ID: 31630010
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Multicenter validation of prostate tumor localization using multiparametric MRI and prior knowledge.
    Dinh CV; Steenbergen P; Ghobadi G; van der Poel H; Heijmink SW; de Jong J; Isebaert S; Haustermans K; Lerut E; Oyen R; Ou Y; Christos D; van der Heide UA
    Med Phys; 2017 Mar; 44(3):949-961. PubMed ID: 28039927
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.
    Wang X; Yang W; Weinreb J; Han J; Li Q; Kong X; Yan Y; Ke Z; Luo B; Liu T; Wang L
    Sci Rep; 2017 Nov; 7(1):15415. PubMed ID: 29133818
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models.
    Khalvati F; Wong A; Haider MA
    BMC Med Imaging; 2015 Aug; 15():27. PubMed ID: 26242589
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Weakly-supervised convolutional neural networks for multimodal image registration.
    Hu Y; Modat M; Gibson E; Li W; Ghavami N; Bonmati E; Wang G; Bandula S; Moore CM; Emberton M; Ourselin S; Noble JA; Barratt DC; Vercauteren T
    Med Image Anal; 2018 Oct; 49():1-13. PubMed ID: 30007253
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Prostate lesion segmentation based on a 3D end-to-end convolution neural network with deep multi-scale attention.
    Song E; Long J; Ma G; Liu H; Hung CC; Jin R; Wang P; Wang W
    Magn Reson Imaging; 2023 Jun; 99():98-109. PubMed ID: 36681311
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Three-Dimensional Convolutional Neural Network for Prostate MRI Segmentation and Comparison of Prostate Volume Measurements by Use of Artificial Neural Network and Ellipsoid Formula.
    Lee DK; Sung DJ; Kim CS; Heo Y; Lee JY; Park BJ; Kim MJ
    AJR Am J Roentgenol; 2020 Jun; 214(6):1229-1238. PubMed ID: 32208009
    [No Abstract]   [Full Text] [Related]  

  • 17. A fully automatic computer aided diagnosis system for peripheral zone prostate cancer detection using multi-parametric magnetic resonance imaging.
    Giannini V; Mazzetti S; Vignati A; Russo F; Bollito E; Porpiglia F; Stasi M; Regge D
    Comput Med Imaging Graph; 2015 Dec; 46 Pt 2():219-26. PubMed ID: 26391055
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Detection of white matter lesion regions in MRI using SLIC0 and convolutional neural network.
    Diniz PHB; Valente TLA; Diniz JOB; Silva AC; Gattass M; Ventura N; Muniz BC; Gasparetto EL
    Comput Methods Programs Biomed; 2018 Dec; 167():49-63. PubMed ID: 29706405
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ParaCM-PNet: A CNN-tokenized MLP combined parallel dual pyramid network for prostate and prostate cancer segmentation in MRI.
    Wang W; Pan B; Ai Y; Li G; Fu Y; Liu Y
    Comput Biol Med; 2024 Mar; 170():107999. PubMed ID: 38244470
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A deep learning approach for real time prostate segmentation in freehand ultrasound guided biopsy.
    Anas EMA; Mousavi P; Abolmaesumi P
    Med Image Anal; 2018 Aug; 48():107-116. PubMed ID: 29886268
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.