BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

359 related articles for article (PubMed ID: 29665537)

  • 1. Mass detection in digital breast tomosynthesis data using convolutional neural networks and multiple instance learning.
    Yousefi M; Krzyżak A; Suen CY
    Comput Biol Med; 2018 May; 96():283-293. PubMed ID: 29665537
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification.
    Li X; Qin G; He Q; Sun L; Zeng H; He Z; Chen W; Zhen X; Zhou L
    Eur Radiol; 2020 Feb; 30(2):778-788. PubMed ID: 31691121
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network.
    Fan M; Li Y; Zheng S; Peng W; Tang W; Li L
    Methods; 2019 Aug; 166():103-111. PubMed ID: 30771490
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.
    Mendel K; Li H; Sheth D; Giger M
    Acad Radiol; 2019 Jun; 26(6):735-743. PubMed ID: 30076083
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Mass detection in reconstructed digital breast tomosynthesis volumes with a computer-aided detection system trained on 2D mammograms.
    van Schie G; Wallis MG; Leifland K; Danielsson M; Karssemeijer N
    Med Phys; 2013 Apr; 40(4):041902. PubMed ID: 23556896
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Characterization of masses in digital breast tomosynthesis: comparison of machine learning in projection views and reconstructed slices.
    Chan HP; Wu YT; Sahiner B; Wei J; Helvie MA; Zhang Y; Moore RH; Kopans DB; Hadjiiski L; Way T
    Med Phys; 2010 Jul; 37(7):3576-86. PubMed ID: 20831065
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Computer-aided detection of masses in digital tomosynthesis mammography: comparison of three approaches.
    Chan HP; Wei J; Zhang Y; Helvie MA; Moore RH; Sahiner B; Hadjiiski L; Kopans DB
    Med Phys; 2008 Sep; 35(9):4087-95. PubMed ID: 18841861
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Model-based deep CNN-regularized reconstruction for digital breast tomosynthesis with a task-based CNN image assessment approach.
    Gao M; Fessler JA; Chan HP
    Phys Med Biol; 2023 Dec; 68(24):. PubMed ID: 37988758
    [No Abstract]   [Full Text] [Related]  

  • 10. A deep learning classifier for digital breast tomosynthesis.
    Ricciardi R; Mettivier G; Staffa M; Sarno A; Acampora G; Minelli S; Santoro A; Antignani E; Orientale A; Pilotti IAM; Santangelo V; D'Andria P; Russo P
    Phys Med; 2021 Mar; 83():184-193. PubMed ID: 33798904
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Two-view digital breast tomosynthesis screening with synthetically reconstructed projection images: comparison with digital breast tomosynthesis with full-field digital mammographic images.
    Skaane P; Bandos AI; Eben EB; Jebsen IN; Krager M; Haakenaasen U; Ekseth U; Izadi M; Hofvind S; Gullien R
    Radiology; 2014 Jun; 271(3):655-63. PubMed ID: 24484063
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives.
    Geras KJ; Mann RM; Moy L
    Radiology; 2019 Nov; 293(2):246-259. PubMed ID: 31549948
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Developing breast lesion detection algorithms for digital breast tomosynthesis: Leveraging false positive findings.
    Hossain MB; Nishikawa RM; Lee J
    Med Phys; 2022 Dec; 49(12):7596-7608. PubMed ID: 35916103
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
    Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
    Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images.
    Gao M; Fessler JA; Chan HP
    IEEE Trans Med Imaging; 2021 Jul; 40(7):1805-1816. PubMed ID: 33729933
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Latent feature representation with depth directional long-term recurrent learning for breast masses in digital breast tomosynthesis.
    Kim DH; Kim ST; Chang JM; Ro YM
    Phys Med Biol; 2017 Feb; 62(3):1009-1031. PubMed ID: 28081006
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis.
    Mazurowski MA; Lo JY; Harrawood BP; Tourassi GD
    J Biomed Inform; 2011 Oct; 44(5):815-23. PubMed ID: 21554985
    [TBL] [Abstract][Full Text] [Related]  

  • 18. New reconstruction algorithm for digital breast tomosynthesis: better image quality for humans and computers.
    Rodriguez-Ruiz A; Teuwen J; Vreemann S; Bouwman RW; van Engen RE; Karssemeijer N; Mann RM; Gubern-Merida A; Sechopoulos I
    Acta Radiol; 2018 Sep; 59(9):1051-1059. PubMed ID: 29254355
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
    Bandeira Diniz JO; Bandeira Diniz PH; Azevedo Valente TL; Corrêa Silva A; de Paiva AC; Gattass M
    Comput Methods Programs Biomed; 2018 Mar; 156():191-207. PubMed ID: 29428071
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-domain features for reducing false positives in automated detection of clustered microcalcifications in digital breast tomosynthesis.
    Zhang F; Wu S; Zhang C; Chen Q; Yang X; Jiang K; Zheng J
    Med Phys; 2019 Mar; 46(3):1300-1308. PubMed ID: 30661242
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.