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]