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 *

169 related articles for article (PubMed ID: 32208369)

  • 1. Generalization error analysis for deep convolutional neural network with transfer learning in breast cancer diagnosis.
    Samala RK; Chan HP; Hadjiiski LM; Helvie MA; Richter CD
    Phys Med Biol; 2020 May; 65(10):105002. PubMed ID: 32208369
    [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. Multi-task transfer learning deep convolutional neural network: application to computer-aided diagnosis of breast cancer on mammograms.
    Samala RK; Chan HP; Hadjiiski LM; Helvie MA; Cha KH; Richter CD
    Phys Med Biol; 2017 Nov; 62(23):8894-8908. PubMed ID: 29035873
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Risks of feature leakage and sample size dependencies in deep feature extraction for breast mass classification.
    Samala RK; Chan HP; Hadjiiski L; Helvie MA
    Med Phys; 2021 Jun; 48(6):2827-2837. PubMed ID: 33368376
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Evolutionary pruning of transfer learned deep convolutional neural network for breast cancer diagnosis in digital breast tomosynthesis.
    Samala RK; Chan HP; Hadjiiski LM; Helvie MA; Richter C; Cha K
    Phys Med Biol; 2018 May; 63(9):095005. PubMed ID: 29616660
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Deep-Learning-Based Semantic Labeling for 2D Mammography and Comparison of Complexity for Machine Learning Tasks.
    Yi PH; Lin A; Wei J; Yu AC; Sair HI; Hui FK; Hager GD; Harvey SC
    J Digit Imaging; 2019 Aug; 32(4):565-570. PubMed ID: 31197559
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MR-based synthetic CT generation using a deep convolutional neural network method.
    Han X
    Med Phys; 2017 Apr; 44(4):1408-1419. PubMed ID: 28192624
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Deep learning networks find unique mammographic differences in previous negative mammograms between interval and screen-detected cancers: a case-case study.
    Hinton B; Ma L; Mahmoudzadeh AP; Malkov S; Fan B; Greenwood H; Joe B; Lee V; Kerlikowske K; Shepherd J
    Cancer Imaging; 2019 Jun; 19(1):41. PubMed ID: 31228956
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Breast Cancer Diagnosis in Digital Breast Tomosynthesis: Effects of Training Sample Size on Multi-Stage Transfer Learning Using Deep Neural Nets.
    Samala RK; Heang-Ping Chan ; Hadjiiski L; Helvie MA; Richter CD; Cha KH
    IEEE Trans Med Imaging; 2019 Mar; 38(3):686-696. PubMed ID: 31622238
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automated semantic labeling of pediatric musculoskeletal radiographs using deep learning.
    Yi PH; Kim TK; Wei J; Shin J; Hui FK; Sair HI; Hager GD; Fritz J
    Pediatr Radiol; 2019 Jul; 49(8):1066-1070. PubMed ID: 31041454
    [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. Computer-aided assessment of breast density: comparison of supervised deep learning and feature-based statistical learning.
    Li S; Wei J; Chan HP; Helvie MA; Roubidoux MA; Lu Y; Zhou C; Hadjiiski LM; Samala RK
    Phys Med Biol; 2018 Jan; 63(2):025005. PubMed ID: 29210358
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Learning Pre-training Strategy for Mammogram Image Classification: an Evaluation Study.
    Clancy K; Aboutalib S; Mohamed A; Sumkin J; Wu S
    J Digit Imaging; 2020 Oct; 33(5):1257-1265. PubMed ID: 32607908
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Discriminating solitary cysts from soft tissue lesions in mammography using a pretrained deep convolutional neural network.
    Kooi T; van Ginneken B; Karssemeijer N; den Heeten A
    Med Phys; 2017 Mar; 44(3):1017-1027. PubMed ID: 28094850
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Learning in Mammography: Diagnostic Accuracy of a Multipurpose Image Analysis Software in the Detection of Breast Cancer.
    Becker AS; Marcon M; Ghafoor S; Wurnig MC; Frauenfelder T; Boss A
    Invest Radiol; 2017 Jul; 52(7):434-440. PubMed ID: 28212138
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning.
    Nishio M; Sugiyama O; Yakami M; Ueno S; Kubo T; Kuroda T; Togashi K
    PLoS One; 2018; 13(7):e0200721. PubMed ID: 30052644
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.