These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 37749333)

  • 1. Label-set impact on deep learning-based prostate segmentation on MRI.
    Meglič J; Sunoqrot MRS; Bathen TF; Elschot M
    Insights Imaging; 2023 Sep; 14(1):157. PubMed ID: 37749333
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of Prostate MRI Lesion Segmentation Agreement Between Multiple Radiologists and a Fully Automatic Deep Learning System.
    Schelb P; Tavakoli AA; Tubtawee T; Hielscher T; Radtke JP; Görtz M; Schütz V; Kuder TA; Schimmöller L; Stenzinger A; Hohenfellner M; Schlemmer HP; Bonekamp D
    Rofo; 2021 May; 193(5):559-573. PubMed ID: 33212541
    [TBL] [Abstract][Full Text] [Related]  

  • 3. The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images.
    Sunoqrot MRS; Selnæs KM; Sandsmark E; Langørgen S; Bertilsson H; Bathen TF; Elschot M
    Diagnostics (Basel); 2021 Sep; 11(9):. PubMed ID: 34574031
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning-based segmentation in prostate radiation therapy using Monte Carlo simulated cone-beam computed tomography.
    Abbani N; Baudier T; Rit S; Franco FD; Okoli F; Jaouen V; Tilquin F; Barateau A; Simon A; de Crevoisier R; Bert J; Sarrut D
    Med Phys; 2022 Nov; 49(11):6930-6944. PubMed ID: 36000762
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Effect of dataset size, image quality, and image type on deep learning-based automatic prostate segmentation in 3D ultrasound.
    Orlando N; Gyacskov I; Gillies DJ; Guo F; Romagnoli C; D'Souza D; Cool DW; Hoover DA; Fenster A
    Phys Med Biol; 2022 Mar; 67(7):. PubMed ID: 35240585
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study.
    Chen H; Li S; Zhang Y; Liu L; Lv X; Yi Y; Ruan G; Ke C; Feng Y
    Eur Radiol; 2022 Oct; 32(10):7248-7259. PubMed ID: 35420299
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models.
    Ferrante M; Rinaldi L; Botta F; Hu X; Dolp A; Minotti M; De Piano F; Funicelli G; Volpe S; Bellerba F; De Marco P; Raimondi S; Rizzo S; Shi K; Cremonesi M; Jereczek-Fossa BA; Spaggiari L; De Marinis F; Orecchia R; Origgi D
    J Clin Med; 2022 Dec; 11(24):. PubMed ID: 36555950
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cascaded deep learning-based auto-segmentation for head and neck cancer patients: Organs at risk on T2-weighted magnetic resonance imaging.
    Korte JC; Hardcastle N; Ng SP; Clark B; Kron T; Jackson P
    Med Phys; 2021 Dec; 48(12):7757-7772. PubMed ID: 34676555
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning from dual-energy information for whole-heart segmentation in dual-energy and single-energy non-contrast-enhanced cardiac CT.
    Bruns S; Wolterink JM; Takx RAP; van Hamersvelt RW; Suchá D; Viergever MA; Leiner T; Išgum I
    Med Phys; 2020 Oct; 47(10):5048-5060. PubMed ID: 32786071
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Workflow for automatic renal perfusion quantification using ASL-MRI and machine learning.
    Bones IK; Bos C; Moonen C; Hendrikse J; van Stralen M
    Magn Reson Med; 2022 Feb; 87(2):800-809. PubMed ID: 34672029
    [TBL] [Abstract][Full Text] [Related]  

  • 11. An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images.
    Boehringer AS; Sanaat A; Arabi H; Zaidi H
    Insights Imaging; 2023 Aug; 14(1):141. PubMed ID: 37620554
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fully Automatic Deep Learning in Bi-institutional Prostate Magnetic Resonance Imaging: Effects of Cohort Size and Heterogeneity.
    Netzer N; Weißer C; Schelb P; Wang X; Qin X; Görtz M; Schütz V; Radtke JP; Hielscher T; Schwab C; Stenzinger A; Kuder TA; Gnirs R; Hohenfellner M; Schlemmer HP; Maier-Hein KH; Bonekamp D
    Invest Radiol; 2021 Dec; 56(12):799-808. PubMed ID: 34049336
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A multi-label CNN model for the automatic detection and segmentation of gliomas using [
    Rahimpour M; Boellaard R; Jentjens S; Deckers W; Goffin K; Koole M
    Eur J Nucl Med Mol Imaging; 2023 Jul; 50(8):2441-2452. PubMed ID: 36933075
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated deep learning method for whole-breast segmentation in diffusion-weighted breast MRI.
    Zhang L; Mohamed AA; Chai R; Guo Y; Zheng B; Wu S
    J Magn Reson Imaging; 2020 Feb; 51(2):635-643. PubMed ID: 31301201
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Learning for Real-time, Automatic, and Scanner-adapted Prostate (Zone) Segmentation of Transrectal Ultrasound, for Example, Magnetic Resonance Imaging-transrectal Ultrasound Fusion Prostate Biopsy.
    van Sloun RJG; Wildeboer RR; Mannaerts CK; Postema AW; Gayet M; Beerlage HP; Salomon G; Wijkstra H; Mischi M
    Eur Urol Focus; 2021 Jan; 7(1):78-85. PubMed ID: 31028016
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Machine learning-based detection of aberrant deep learning segmentations of target and organs at risk for prostate radiotherapy using a secondary segmentation algorithm.
    Claessens M; Vanreusel V; De Kerf G; Mollaert I; Löfman F; Gooding MJ; Brouwer C; Dirix P; Verellen D
    Phys Med Biol; 2022 May; 67(11):. PubMed ID: 35561701
    [No Abstract]   [Full Text] [Related]  

  • 17. 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]  

  • 18. A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics.
    Bleker J; Kwee TC; Rouw D; Roest C; Borstlap J; de Jong IJ; Dierckx RAJO; Huisman H; Yakar D
    Eur Radiol; 2022 Sep; 32(9):6526-6535. PubMed ID: 35420303
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Polycystic liver: automatic segmentation using deep learning on CT is faster and as accurate compared to manual segmentation.
    Cayot B; Milot L; Nempont O; Vlachomitrou AS; Langlois-Jacques C; Dumortier J; Boillot O; Arnaud K; Barten TRM; Drenth JPH; Valette PJ
    Eur Radiol; 2022 Jul; 32(7):4780-4790. PubMed ID: 35142898
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning for segmentation of the cervical cancer gross tumor volume on magnetic resonance imaging for brachytherapy.
    Rodríguez Outeiral R; González PJ; Schaake EE; van der Heide UA; Simões R
    Radiat Oncol; 2023 May; 18(1):91. PubMed ID: 37248490
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.