BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

144 related articles for article (PubMed ID: 38436698)

  • 1. Algorithms for classification of sequences and segmentation of prostate gland: an external validation study.
    Yin X; Wang K; Wang L; Yang Z; Zhang Y; Wu P; Zhao C; Zhang J
    Abdom Radiol (NY); 2024 Apr; 49(4):1275-1287. PubMed ID: 38436698
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Spatially varying accuracy and reproducibility of prostate segmentation in magnetic resonance images using manual and semiautomated methods.
    Shahedi M; Cool DW; Romagnoli C; Bauman GS; Bastian-Jordan M; Gibson E; Rodrigues G; Ahmad B; Lock M; Fenster A; Ward AD
    Med Phys; 2014 Nov; 41(11):113503. PubMed ID: 25370674
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The added value of AI-based computer-aided diagnosis in classification of cancer at prostate MRI.
    Liu G; Pan S; Zhao R; Zhou H; Chen J; Zhou X; Xu J; Zhou Y; Xue W; Wu G
    Eur Radiol; 2023 Jul; 33(7):5118-5130. PubMed ID: 36725719
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial Intelligence in Magnetic Resonance Imaging-based Prostate Cancer Diagnosis: Where Do We Stand in 2021?
    Suarez-Ibarrola R; Sigle A; Eklund M; Eberli D; Miernik A; Benndorf M; Bamberg F; Gratzke C
    Eur Urol Focus; 2022 Mar; 8(2):409-417. PubMed ID: 33773964
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Inter-slice bidirectional registration-based segmentation of the prostate gland in MR and CT image sequences.
    Khalvati F; Salmanpour A; Rahnamayan S; Rodrigues G; Tizhoosh HR
    Med Phys; 2013 Dec; 40(12):123503. PubMed ID: 24320543
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Cascaded Deep Learning-Based Artificial Intelligence Algorithm for Automated Lesion Detection and Classification on Biparametric Prostate Magnetic Resonance Imaging.
    Mehralivand S; Yang D; Harmon SA; Xu D; Xu Z; Roth H; Masoudi S; Sanford TH; Kesani D; Lay NS; Merino MJ; Wood BJ; Pinto PA; Choyke PL; Turkbey B
    Acad Radiol; 2022 Aug; 29(8):1159-1168. PubMed ID: 34598869
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deformable segmentation of 3D MR prostate images via distributed discriminative dictionary and ensemble learning.
    Guo Y; Gao Y; Shao Y; Price T; Oto A; Shen D
    Med Phys; 2014 Jul; 41(7):072303. PubMed ID: 24989402
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automated prostate multi-regional segmentation in magnetic resonance using fully convolutional neural networks.
    Jimenez-Pastor A; Lopez-Gonzalez R; Fos-Guarinos B; Garcia-Castro F; Wittenberg M; Torregrosa-Andrés A; Marti-Bonmati L; Garcia-Fontes M; Duarte P; Gambini JP; Bittencourt LK; Kitamura FC; Venugopal VK; Mahajan V; Ros P; Soria-Olivas E; Alberich-Bayarri A
    Eur Radiol; 2023 Jul; 33(7):5087-5096. PubMed ID: 36690774
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prostate cancer segmentation from MRI by a multistream fusion encoder.
    Jiang M; Yuan B; Kou W; Yan W; Marshall H; Yang Q; Syer T; Punwani S; Emberton M; Barratt DC; Cho CCM; Hu Y; Chiu B
    Med Phys; 2023 Sep; 50(9):5489-5504. PubMed ID: 36938883
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy.
    Soerensen SJC; Fan RE; Seetharaman A; Chen L; Shao W; Bhattacharya I; Kim YH; Sood R; Borre M; Chung BI; To'o KJ; Rusu M; Sonn GA
    J Urol; 2021 Sep; 206(3):604-612. PubMed ID: 33878887
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Combined model-based and deep learning-based automated 3D zonal segmentation of the prostate on T2-weighted MR images: clinical evaluation.
    Rouvière O; Moldovan PC; Vlachomitrou A; Gouttard S; Riche B; Groth A; Rabotnikov M; Ruffion A; Colombel M; Crouzet S; Weese J; Rabilloud M
    Eur Radiol; 2022 May; 32(5):3248-3259. PubMed ID: 35001157
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Convolutional Neural Networks for Automated Classification of Prostate Multiparametric Magnetic Resonance Imaging Based on Image Quality.
    Cipollari S; Guarrasi V; Pecoraro M; Bicchetti M; Messina E; Farina L; Paci P; Catalano C; Panebianco V
    J Magn Reson Imaging; 2022 Feb; 55(2):480-490. PubMed ID: 34374181
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.
    Shahedi M; Cool DW; Bauman GS; Bastian-Jordan M; Fenster A; Ward AD
    J Digit Imaging; 2017 Dec; 30(6):782-795. PubMed ID: 28342043
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Segmentation of prostate zones using probabilistic atlas-based method with diffusion-weighted MR images.
    Singh D; Kumar V; Das CJ; Singh A; Mehndiratta A
    Comput Methods Programs Biomed; 2020 Nov; 196():105572. PubMed ID: 32544780
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine Segmentation of Pelvic Anatomy in MRI-Assisted Radiosurgery (MARS) for Prostate Cancer Brachytherapy.
    Sanders JW; Lewis GD; Thames HD; Kudchadker RJ; Venkatesan AM; Bruno TL; Ma J; Pagel MD; Frank SJ
    Int J Radiat Oncol Biol Phys; 2020 Dec; 108(5):1292-1303. PubMed ID: 32634543
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Medical image diagnosis of prostate tumor based on PSP-Net+VGG16 deep learning network.
    Ye LY; Miao XY; Cai WS; Xu WJ
    Comput Methods Programs Biomed; 2022 Jun; 221():106770. PubMed ID: 35640389
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Patient-specific transfer learning for auto-segmentation in adaptive 0.35 T MRgRT of prostate cancer: a bi-centric evaluation.
    Kawula M; Hadi I; Nierer L; Vagni M; Cusumano D; Boldrini L; Placidi L; Corradini S; Belka C; Landry G; Kurz C
    Med Phys; 2023 Mar; 50(3):1573-1585. PubMed ID: 36259384
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Research related to the diagnosis of prostate cancer based on machine learning medical images: A review.
    Chen X; Liu X; Wu Y; Wang Z; Wang SH
    Int J Med Inform; 2024 Jan; 181():105279. PubMed ID: 37977054
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
    Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
    Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.