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 *

113 related articles for article (PubMed ID: 38526891)

  • 1. UniChest: Conquer-and-Divide Pre-Training for Multi-Source Chest X-Ray Classification.
    Dai T; Zhang R; Hong F; Yao J; Zhang Y; Wang Y
    IEEE Trans Med Imaging; 2024 Aug; 43(8):2901-2912. PubMed ID: 38526891
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Learning to Generalize Towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection From Chest X-Rays.
    Zunaed M; Haque MA; Hasan T
    IEEE J Biomed Health Inform; 2024 Jun; 28(6):3626-3636. PubMed ID: 38442052
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A review on lung boundary detection in chest X-rays.
    Candemir S; Antani S
    Int J Comput Assist Radiol Surg; 2019 Apr; 14(4):563-576. PubMed ID: 30730032
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep Learning Method for Automated Classification of Anteroposterior and Posteroanterior Chest Radiographs.
    Kim TK; Yi PH; Wei J; Shin JW; Hager G; Hui FK; Sair HI; Lin CT
    J Digit Imaging; 2019 Dec; 32(6):925-930. PubMed ID: 30972585
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Discriminative Feature Learning for Thorax Disease Classification in Chest X-ray Images.
    Guan Q; Huang Y; Luo Y; Liu P; Xu M; Yang Y
    IEEE Trans Image Process; 2021; 30():2476-2487. PubMed ID: 33497335
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated detection of moderate and large pneumothorax on frontal chest X-rays using deep convolutional neural networks: A retrospective study.
    Taylor AG; Mielke C; Mongan J
    PLoS Med; 2018 Nov; 15(11):e1002697. PubMed ID: 30457991
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic Localization and Identification of Thoracic Diseases from Chest X-rays with Deep Learning.
    Zhang S; Tang T; Peng X; Zhang Y; Yang W; Li W; Xin X; Zhang J; Wang W; Zhang B
    Curr Med Imaging; 2022; 18(13):1416-1425. PubMed ID: 35593336
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Lesion-aware convolutional neural network for chest radiograph classification.
    Li F; Shi JX; Yan L; Wang YG; Zhang XD; Jiang MS; Wu ZZ; Zhou KQ
    Clin Radiol; 2021 Feb; 76(2):155.e1-155.e14. PubMed ID: 33077154
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Foundation Ark: Accruing and Reusing Knowledge for Superior and Robust Performance.
    Ma D; Pang J; Gotway MB; Liang J
    Med Image Comput Comput Assist Interv; 2023 Oct; 14220():651-662. PubMed ID: 38751905
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification.
    Chen B; Li J; Lu G; Yu H; Zhang D
    IEEE J Biomed Health Inform; 2020 Aug; 24(8):2292-2302. PubMed ID: 31976915
    [TBL] [Abstract][Full Text] [Related]  

  • 11. BarlowTwins-CXR: enhancing chest X-ray abnormality localization in heterogeneous data with cross-domain self-supervised learning.
    Sheng H; Ma L; Samson JF; Liu D
    BMC Med Inform Decis Mak; 2024 May; 24(1):126. PubMed ID: 38755563
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.
    Pan I; Agarwal S; Merck D
    J Digit Imaging; 2019 Oct; 32(5):888-896. PubMed ID: 30838482
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-Label Local to Global Learning: A Novel Learning Paradigm for Chest X-Ray Abnormality Classification.
    Liu Z; Cheng Y; Tamura S
    IEEE J Biomed Health Inform; 2023 Sep; 27(9):4409-4420. PubMed ID: 37252867
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dense networks with relative location awareness for thorax disease identification.
    Liang X; Peng C; Qiu B; Li B
    Med Phys; 2019 May; 46(5):2064-2073. PubMed ID: 30927448
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Automated thorax disease diagnosis using multi-branch residual attention network.
    Li D; Huo H; Jiao S; Sun X; Chen S
    Sci Rep; 2024 May; 14(1):11865. PubMed ID: 38789592
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Enhanced Diagnosis of Pneumothorax with an Improved Real-Time Augmentation for Imbalanced Chest X-rays Data Based on DCNN.
    Wang Y; Sun L; Jin Q
    IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(3):951-962. PubMed ID: 31021773
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Synthetically enhanced: unveiling synthetic data's potential in medical imaging research.
    Khosravi B; Li F; Dapamede T; Rouzrokh P; Gamble CU; Trivedi HM; Wyles CC; Sellergren AB; Purkayastha S; Erickson BJ; Gichoya JW
    EBioMedicine; 2024 Jun; 104():105174. PubMed ID: 38821021
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRChexNet: Multi-modal bridge and relational learning for thoracic disease recognition in chest X-rays.
    Wang G; Wang P; Cong J; Wei B
    Math Biosci Eng; 2023 Nov; 20(12):21292-21314. PubMed ID: 38124598
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Lung pneumonia severity scoring in chest X-ray images using transformers.
    Slika B; Dornaika F; Merdji H; Hammoudi K
    Med Biol Eng Comput; 2024 Aug; 62(8):2389-2407. PubMed ID: 38589723
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Computerized detection of lung nodules by means of "virtual dual-energy" radiography.
    Chen S; Suzuki K
    IEEE Trans Biomed Eng; 2013 Feb; 60(2):369-78. PubMed ID: 23193306
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.