BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

262 related articles for article (PubMed ID: 31529684)

  • 1. Application of artificial intelligence in the diagnosis of multiple primary lung cancer.
    Li X; Hu B; Li H; You B
    Thorac Cancer; 2019 Nov; 10(11):2168-2174. PubMed ID: 31529684
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT].
    Li X; Guo F; Zhou Z; Zhang F; Wang Q; Peng Z; Su D; Fan Y; Wang Y
    Zhongguo Fei Ai Za Zhi; 2019 Jun; 22(6):336-340. PubMed ID: 31196366
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm.
    Zhao ZR; Yu YH; Lin ZC; Ma DH; Lin YB; Hu J; Luo QQ; Li GF; Chen C; Yang YL; Yang JC; Lin YB; Long H
    J Cancer Res Clin Oncol; 2023 Aug; 149(10):7759-7765. PubMed ID: 37016100
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Establishment and Verification of A Novel Predictive Model of Malignancy
for Non-solid Pulmonary Nodules].
    Xiao F; Yu Q; Zhang Z; Liu D; Liang C
    Zhongguo Fei Ai Za Zhi; 2019 Jan; 22(1):26-33. PubMed ID: 30674390
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies.
    Ding Y; Zhang J; Zhuang W; Gao Z; Kuang K; Tian D; Deng C; Wu H; Chen R; Lu G; Chen G; Mendogni P; Migliore M; Kang MW; Kanzaki R; Tang Y; Yang J; Shi Q; Qiao G
    Eur Radiol; 2023 May; 33(5):3092-3102. PubMed ID: 36480027
    [TBL] [Abstract][Full Text] [Related]  

  • 6. External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules.
    Baldwin DR; Gustafson J; Pickup L; Arteta C; Novotny P; Declerck J; Kadir T; Figueiras C; Sterba A; Exell A; Potesil V; Holland P; Spence H; Clubley A; O'Dowd E; Clark M; Ashford-Turner V; Callister ME; Gleeson FV
    Thorax; 2020 Apr; 75(4):306-312. PubMed ID: 32139611
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Clinical Study of Artificial Intelligence-assisted Diagnosis System in Predicting the 
Invasive Subtypes of Early-stage Lung Adenocarcinoma Appearing as Pulmonary Nodules].
    Su Z; Mao W; Li B; Zheng Z; Yang B; Ren M; Song T; Feng H; Meng Y
    Zhongguo Fei Ai Za Zhi; 2022 Apr; 25(4):245-252. PubMed ID: 35477188
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Study of the diagnostic difference between the clinical diagnostic criteria and results of immunohistochemical staining of multiple primary lung cancers.
    Nonami Y; Ohtuki Y; Sasaguri S
    J Cardiovasc Surg (Torino); 2003 Oct; 44(5):661-5. PubMed ID: 14735056
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnostic value of artificial intelligence based on computed tomography (CT) density in benign and malignant pulmonary nodules: a retrospective investigation.
    Fan W; Liu H; Zhang Y; Chen X; Huang M; Xu B
    PeerJ; 2024; 12():e16577. PubMed ID: 38188164
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Artificial intelligence research advances in discrimination and diagnosis of pulmonary ground-glass nodules].
    Li YJ; Wang Y; Qiu ZX
    Zhonghua Jie He He Hu Xi Za Zhi; 2024 Jun; 47(6):566-570. PubMed ID: 38858209
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multiple Pulmonary Resections for Synchronous and Metachronous Lung Cancer at Two Chinese Centers.
    Kang X; Zhang C; Zhou H; Zhang J; Yan W; Zhong WZ; Chen KN
    Ann Thorac Surg; 2020 Mar; 109(3):856-863. PubMed ID: 31765616
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial intelligence and radiomics in pulmonary nodule management: current status and future applications.
    Ather S; Kadir T; Gleeson F
    Clin Radiol; 2020 Jan; 75(1):13-19. PubMed ID: 31202567
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.
    Liu B; Chi W; Li X; Li P; Liang W; Liu H; Wang W; He J
    J Cancer Res Clin Oncol; 2020 Jan; 146(1):153-185. PubMed ID: 31786740
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Diagnosis and treatment of lung cancer with multiple primary malignant lesion].
    Xu QM
    Zhonghua Wai Ke Za Zhi; 1993 Oct; 31(10):616-8. PubMed ID: 8033675
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Therapeutic strategy in patients with non-small cell lung cancer associated to satellite pulmonary nodules.
    Carretta A; Ciriaco P; Canneto B; Nicoletti R; Del Maschio A; Zannini P
    Eur J Cardiothorac Surg; 2002 Jun; 21(6):1100-4. PubMed ID: 12048092
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.
    Tu SJ; Wang CW; Pan KT; Wu YC; Wu CT
    Phys Med Biol; 2018 Mar; 63(6):065005. PubMed ID: 29446758
    [TBL] [Abstract][Full Text] [Related]  

  • 17. [Computer instruments for the management of isolated pulmonary nodule. Detectability and prediction of malignancy].
    Vremaroiu P; Chassagnon G; Casutt A; Noirez L; Bernasconi M; Villard N; Nicod L; Beigelman-Aubry C; Lovis A
    Rev Med Suisse; 2019 Nov; 15(671):2092-2097. PubMed ID: 31742940
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The results of modern surgical therapy for multiple primary lung cancers.
    Adebonojo SA; Moritz DM; Danby CA
    Chest; 1997 Sep; 112(3):693-701. PubMed ID: 9315801
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
    Zhang C; Sun X; Dang K; Li K; Guo XW; Chang J; Yu ZQ; Huang FY; Wu YS; Liang Z; Liu ZY; Zhang XG; Gao XL; Huang SH; Qin J; Feng WN; Zhou T; Zhang YB; Fang WJ; Zhao MF; Yang XN; Zhou Q; Wu YL; Zhong WZ
    Oncologist; 2019 Sep; 24(9):1159-1165. PubMed ID: 30996009
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 3D Deep Learning from CT Scans Predicts Tumor Invasiveness of Subcentimeter Pulmonary Adenocarcinomas.
    Zhao W; Yang J; Sun Y; Li C; Wu W; Jin L; Yang Z; Ni B; Gao P; Wang P; Hua Y; Li M
    Cancer Res; 2018 Dec; 78(24):6881-6889. PubMed ID: 30279243
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.