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 *

107 related articles for article (PubMed ID: 38921624)

  • 1. Automatic Detection of Post-Operative Clips in Mammography Using a U-Net Convolutional Neural Network.
    Schnitzler T; Ruppert C; Hejduk P; Borkowski K; Kajüter J; Rossi C; Ciritsis A; Landsmann A; Zaytoun H; Boss A; Schindera S; Burn F
    J Imaging; 2024 Jun; 10(6):. PubMed ID: 38921624
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.
    Sexauer R; Hejduk P; Borkowski K; Ruppert C; Weikert T; Dellas S; Schmidt N
    Eur Radiol; 2023 Jul; 33(7):4589-4596. PubMed ID: 36856841
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Automatic and standardized quality assurance of digital mammography and tomosynthesis with deep convolutional neural networks.
    Hejduk P; Sexauer R; Ruppert C; Borkowski K; Unkelbach J; Schmidt N
    Insights Imaging; 2023 May; 14(1):90. PubMed ID: 37199794
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.
    Hejduk P; Marcon M; Unkelbach J; Ciritsis A; Rossi C; Borkowski K; Boss A
    Eur Radiol; 2022 Jul; 32(7):4868-4878. PubMed ID: 35147776
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle.
    Landsmann A; Ruppert C; Borkowski K; Hejduk P; Ciritsis A; Wieler J; Rossi C; Boss A
    Clin Imaging; 2023 Mar; 95():28-36. PubMed ID: 36603416
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Detecting Abnormal Axillary Lymph Nodes on Mammograms Using a Deep Convolutional Neural Network.
    Abel F; Landsmann A; Hejduk P; Ruppert C; Borkowski K; Ciritsis A; Rossi C; Boss A
    Diagnostics (Basel); 2022 May; 12(6):. PubMed ID: 35741157
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.
    Ma X; Wei J; Zhou C; Helvie MA; Chan HP; Hadjiiski LM; Lu Y
    Med Phys; 2019 May; 46(5):2103-2114. PubMed ID: 30771257
    [TBL] [Abstract][Full Text] [Related]  

  • 8. BI-RADS-Based Classification of Mammographic Soft Tissue Opacities Using a Deep Convolutional Neural Network.
    Sabani A; Landsmann A; Hejduk P; Schmidt C; Marcon M; Borkowski K; Rossi C; Ciritsis A; Boss A
    Diagnostics (Basel); 2022 Jun; 12(7):. PubMed ID: 35885470
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Convolutional neural network for automated mass segmentation in mammography.
    Abdelhafiz D; Bi J; Ammar R; Yang C; Nabavi S
    BMC Bioinformatics; 2020 Dec; 21(Suppl 1):192. PubMed ID: 33297952
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Fully automatic classification of breast MRI background parenchymal enhancement using a transfer learning approach.
    Borkowski K; Rossi C; Ciritsis A; Marcon M; Hejduk P; Stieb S; Boss A; Berger N
    Medicine (Baltimore); 2020 Jul; 99(29):e21243. PubMed ID: 32702902
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A comparison of full-field digital mammograms versus 2D synthesized mammograms for detection of microcalcifications on screening.
    Wahab RA; Lee SJ; Zhang B; Sobel L; Mahoney MC
    Eur J Radiol; 2018 Oct; 107():14-19. PubMed ID: 30292258
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?
    Landsmann A; Wieler J; Hejduk P; Ciritsis A; Borkowski K; Rossi C; Boss A
    Diagnostics (Basel); 2022 Jan; 12(1):. PubMed ID: 35054348
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Determination of mammographic breast density using a deep convolutional neural network.
    Ciritsis A; Rossi C; Vittoria De Martini I; Eberhard M; Marcon M; Becker AS; Berger N; Boss A
    Br J Radiol; 2019 Jan; 92(1093):20180691. PubMed ID: 30209957
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
    Ciritsis A; Rossi C; Eberhard M; Marcon M; Becker AS; Boss A
    Eur Radiol; 2019 Oct; 29(10):5458-5468. PubMed ID: 30927100
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Hybrid U-Net-based deep learning model for volume segmentation of lung nodules in CT images.
    Wang Y; Zhou C; Chan HP; Hadjiiski LM; Chughtai A; Kazerooni EA
    Med Phys; 2022 Nov; 49(11):7287-7302. PubMed ID: 35717560
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning performance for detection and classification of microcalcifications on mammography.
    Pesapane F; Trentin C; Ferrari F; Signorelli G; Tantrige P; Montesano M; Cicala C; Virgoli R; D'Acquisto S; Nicosia L; Origgi D; Cassano E
    Eur Radiol Exp; 2023 Nov; 7(1):69. PubMed ID: 37934382
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep convolutional neural network-based skeletal classification of cephalometric image compared with automated-tracing software.
    Kim HJ; Kim KD; Kim DH
    Sci Rep; 2022 Jul; 12(1):11659. PubMed ID: 35804075
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application value of a deep learning method based on a 3D V-Net convolutional neural network in the recognition and segmentation of the auditory ossicles.
    Wang XR; Ma X; Jin LX; Gao YJ; Xue YJ; Li JL; Bai WX; Han MF; Zhou Q; Shi F; Wang J
    Front Neuroinform; 2022; 16():937891. PubMed ID: 36120083
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Two-stage deep learning model for fully automated pancreas segmentation on computed tomography: Comparison with intra-reader and inter-reader reliability at full and reduced radiation dose on an external dataset.
    Panda A; Korfiatis P; Suman G; Garg SK; Polley EC; Singh DP; Chari ST; Goenka AH
    Med Phys; 2021 May; 48(5):2468-2481. PubMed ID: 33595105
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.