BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

212 related articles for article (PubMed ID: 32661584)

  • 1. Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration.
    Hwang EJ; Kim H; Lee JH; Goo JM; Park CM
    Eur Radiol; 2020 Dec; 30(12):6902-6912. PubMed ID: 32661584
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study.
    Hwang EJ; Hong JH; Lee KH; Kim JI; Nam JG; Kim DS; Choi H; Yoo SJ; Goo JM; Park CM
    Eur Radiol; 2020 Jul; 30(7):3660-3671. PubMed ID: 32162001
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs.
    Hwang EJ; Park S; Jin KN; Kim JI; Choi SY; Lee JH; Goo JM; Aum J; Yim JJ; Cohen JG; Ferretti GR; Park CM;
    JAMA Netw Open; 2019 Mar; 2(3):e191095. PubMed ID: 30901052
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning in chest radiography: Detection of findings and presence of change.
    Singh R; Kalra MK; Nitiwarangkul C; Patti JA; Homayounieh F; Padole A; Rao P; Putha P; Muse VV; Sharma A; Digumarthy SR
    PLoS One; 2018; 13(10):e0204155. PubMed ID: 30286097
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep learning-based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals.
    Lee JH; Park S; Hwang EJ; Goo JM; Lee WY; Lee S; Kim H; Andrews JR; Park CM
    Eur Radiol; 2021 Feb; 31(2):1069-1080. PubMed ID: 32857202
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Learning for Chest Radiograph Diagnosis in the Emergency Department.
    Hwang EJ; Nam JG; Lim WH; Park SJ; Jeong YS; Kang JH; Hong EK; Kim TM; Goo JM; Park S; Kim KH; Park CM
    Radiology; 2019 Dec; 293(3):573-580. PubMed ID: 31638490
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial Intelligence Algorithm Detecting Lung Infection in Supine Chest Radiographs of Critically Ill Patients With a Diagnostic Accuracy Similar to Board-Certified Radiologists.
    Rueckel J; Kunz WG; Hoppe BF; Patzig M; Notohamiprodjo M; Meinel FG; Cyran CC; Ingrisch M; Ricke J; Sabel BO
    Crit Care Med; 2020 Jul; 48(7):e574-e583. PubMed ID: 32433121
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Optimal matrix size of chest radiographs for computer-aided detection on lung nodule or mass with deep learning.
    Kim YG; Lee SM; Lee KH; Jang R; Seo JB; Kim N
    Eur Radiol; 2020 Sep; 30(9):4943-4951. PubMed ID: 32350657
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning for chest radiograph diagnosis: A retrospective comparison of the CheXNeXt algorithm to practicing radiologists.
    Rajpurkar P; Irvin J; Ball RL; Zhu K; Yang B; Mehta H; Duan T; Ding D; Bagul A; Langlotz CP; Patel BN; Yeom KW; Shpanskaya K; Blankenberg FG; Seekins J; Amrhein TJ; Mong DA; Halabi SS; Zucker EJ; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002686. PubMed ID: 30457988
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning to detect acute respiratory distress syndrome on chest radiographs: a retrospective study with external validation.
    Sjoding MW; Taylor D; Motyka J; Lee E; Co I; Claar D; McSparron JI; Ansari S; Kerlin MP; Reilly JP; Shashaty MGS; Anderson BJ; Jones TK; Drebin HM; Ittner CAG; Meyer NJ; Iwashyna TJ; Ward KR; Gillies CE
    Lancet Digit Health; 2021 Jun; 3(6):e340-e348. PubMed ID: 33893070
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning-based detection system for multiclass lesions on chest radiographs: comparison with observer readings.
    Park S; Lee SM; Lee KH; Jung KH; Bae W; Choe J; Seo JB
    Eur Radiol; 2020 Mar; 30(3):1359-1368. PubMed ID: 31748854
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort.
    Kim EY; Kim YJ; Choi WJ; Lee GP; Choi YR; Jin KN; Cho YJ
    PLoS One; 2021; 16(2):e0246472. PubMed ID: 33606779
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep Learning-Based Computer-Aided Detection System for Preoperative Chest Radiographs to Predict Postoperative Pneumonia.
    Lee T; Hwang EJ; Park CM; Goo JM
    Acad Radiol; 2023 Dec; 30(12):2844-2855. PubMed ID: 36931951
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
    Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
    JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Test-retest reproducibility of a deep learning-based automatic detection algorithm for the chest radiograph.
    Kim H; Park CM; Goo JM
    Eur Radiol; 2020 Apr; 30(4):2346-2355. PubMed ID: 31900698
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.
    Lee JH; Ha EJ; Kim D; Jung YJ; Heo S; Jang YH; An SH; Lee K
    Eur Radiol; 2020 Jun; 30(6):3066-3072. PubMed ID: 32065285
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and Validation of Deep Learning-based Automatic Detection Algorithm for Malignant Pulmonary Nodules on Chest Radiographs.
    Nam JG; Park S; Hwang EJ; Lee JH; Jin KN; Lim KY; Vu TH; Sohn JH; Hwang S; Goo JM; Park CM
    Radiology; 2019 Jan; 290(1):218-228. PubMed ID: 30251934
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Discrimination between transient and persistent subsolid pulmonary nodules on baseline CT using deep transfer learning.
    Huang C; Lv W; Zhou C; Mao L; Xu Q; Li X; Qi L; Xia F; Li X; Zhang Q; Zhang L; Lu G
    Eur Radiol; 2020 Dec; 30(12):6913-6923. PubMed ID: 32696253
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs: Case-control study.
    Choi SY; Park S; Kim M; Park J; Choi YR; Jin KN
    Medicine (Baltimore); 2021 Apr; 100(16):e25663. PubMed ID: 33879750
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Using deep-learning techniques for pulmonary-thoracic segmentations and improvement of pneumonia diagnosis in pediatric chest radiographs.
    E L; Zhao B; Guo Y; Zheng C; Zhang M; Lin J; Luo Y; Cai Y; Song X; Liang H
    Pediatr Pulmonol; 2019 Oct; 54(10):1617-1626. PubMed ID: 31270968
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.