BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

130 related articles for article (PubMed ID: 36052264)

  • 1. Multi-center verification of the influence of data ratio of training sets on test results of an AI system for detecting early gastric cancer based on the YOLO-v4 algorithm.
    Jin T; Jiang Y; Mao B; Wang X; Lu B; Qian J; Zhou H; Ma T; Zhang Y; Li S; Shi Y; Yao Z
    Front Oncol; 2022; 12():953090. PubMed ID: 36052264
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Construction and Multicenter Diagnostic Verification of Intelligent Recognition System for Endoscopic Images From Early Gastric Cancer Based on YOLO-V3 Algorithm.
    Yao Z; Jin T; Mao B; Lu B; Zhang Y; Li S; Chen W
    Front Oncol; 2022; 12():815951. PubMed ID: 35145918
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of artificial intelligence using a convolutional neural network for diagnosis of early gastric cancer based on magnifying endoscopy with narrow-band imaging.
    Ueyama H; Kato Y; Akazawa Y; Yatagai N; Komori H; Takeda T; Matsumoto K; Ueda K; Matsumoto K; Hojo M; Yao T; Nagahara A; Tada T
    J Gastroenterol Hepatol; 2021 Feb; 36(2):482-489. PubMed ID: 32681536
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Convolutional neural network-based system for endocytoscopic diagnosis of early gastric cancer.
    Noda H; Kaise M; Higuchi K; Koizumi E; Yoshikata K; Habu T; Kirita K; Onda T; Omori J; Akimoto T; Goto O; Iwakiri K; Tada T
    BMC Gastroenterol; 2022 May; 22(1):237. PubMed ID: 35549679
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis of gastric lesions through a deep convolutional neural network.
    Zhang L; Zhang Y; Wang L; Wang J; Liu Y
    Dig Endosc; 2021 Jul; 33(5):788-796. PubMed ID: 32961597
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial Intelligence in Gastric Cancer: Identifying Gastric Cancer Using Endoscopic Images with Convolutional Neural Network.
    Islam MM; Poly TN; Walther BA; Lin MC; Li YJ
    Cancers (Basel); 2021 Oct; 13(21):. PubMed ID: 34771416
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic detection of early gastric cancer in endoscopy based on Mask region-based convolutional neural networks (Mask R-CNN)(with video).
    Jin J; Zhang Q; Dong B; Ma T; Mei X; Wang X; Song S; Peng J; Wu A; Dong L; Kong D
    Front Oncol; 2022; 12():927868. PubMed ID: 36338757
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A convolutional neural network-based system for detecting early gastric cancer in white-light endoscopy.
    Zhou B; Rao X; Xing H; Ma Y; Wang F; Rong L
    Scand J Gastroenterol; 2023 Feb; 58(2):157-162. PubMed ID: 36000979
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning model for diagnosing gastric mucosal lesions using endoscopic images: development, validation, and method comparison.
    Nam JY; Chung HJ; Choi KS; Lee H; Kim TJ; Soh H; Kang EA; Cho SJ; Ye JC; Im JP; Kim SG; Kim JS; Chung H; Lee JH
    Gastrointest Endosc; 2022 Feb; 95(2):258-268.e10. PubMed ID: 34492271
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Convolutional Neural Network for Differentiating Gastric Cancer from Gastritis Using Magnified Endoscopy with Narrow Band Imaging.
    Horiuchi Y; Aoyama K; Tokai Y; Hirasawa T; Yoshimizu S; Ishiyama A; Yoshio T; Tsuchida T; Fujisaki J; Tada T
    Dig Dis Sci; 2020 May; 65(5):1355-1363. PubMed ID: 31584138
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Current Evidence and Future Perspective of Accuracy of Artificial Intelligence Application for Early Gastric Cancer Diagnosis With Endoscopy: A Systematic and Meta-Analysis.
    Jiang K; Jiang X; Pan J; Wen Y; Huang Y; Weng S; Lan S; Nie K; Zheng Z; Ji S; Liu P; Li P; Liu F
    Front Med (Lausanne); 2021; 8():629080. PubMed ID: 33791323
    [No Abstract]   [Full Text] [Related]  

  • 12. [Establishment and test results of an artificial intelligence burn depth recognition model based on convolutional neural network].
    He ZY; Wang Y; Zhang PH; Zuo K; Liang PF; Zeng JZ; Zhou ST; Guo L; Huang MT; Cui X
    Zhonghua Shao Shang Za Zhi; 2020 Nov; 36(11):1070-1074. PubMed ID: 33238691
    [No Abstract]   [Full Text] [Related]  

  • 13. An efficient deep convolutional neural network model for visual localization and automatic diagnosis of thyroid nodules on ultrasound images.
    Zhu J; Zhang S; Yu R; Liu Z; Gao H; Yue B; Liu X; Zheng X; Gao M; Wei X
    Quant Imaging Med Surg; 2021 Apr; 11(4):1368-1380. PubMed ID: 33816175
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin.
    Agbehadji IE; Abayomi A; Bui KN; Millham RC; Freeman E
    Sensors (Basel); 2022 Aug; 22(16):. PubMed ID: 36015936
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of deep learning methods for early gastric cancer detection using gastroscopic images.
    Su X; Liu Q; Gao X; Ma L
    Technol Health Care; 2023; 31(S1):313-322. PubMed ID: 37066932
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A system based on deep convolutional neural network improves the detection of early gastric cancer.
    Feng J; Yu SR; Zhang YP; Qu L; Wei L; Wang PF; Zhu LJ; Bao Y; Lei XG; Gao LL; Feng YH; Yu Y; Huang XJ
    Front Oncol; 2022; 12():1021625. PubMed ID: 36620563
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A Lesion-Based Convolutional Neural Network Improves Endoscopic Detection and Depth Prediction of Early Gastric Cancer.
    Yoon HJ; Kim S; Kim JH; Keum JS; Oh SI; Jo J; Chun J; Youn YH; Park H; Kwon IG; Choi SH; Noh SH
    J Clin Med; 2019 Aug; 8(9):. PubMed ID: 31454949
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of Chest Radiograph Interpretations by Artificial Intelligence Algorithm vs Radiology Residents.
    Wu JT; Wong KCL; Gur Y; Ansari N; Karargyris A; Sharma A; Morris M; Saboury B; Ahmad H; Boyko O; Syed A; Jadhav A; Wang H; Pillai A; Kashyap S; Moradi M; Syeda-Mahmood T
    JAMA Netw Open; 2020 Oct; 3(10):e2022779. PubMed ID: 33034642
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Exploring the challenge of early gastric cancer diagnostic AI system face in multiple centers and its potential solutions.
    Dong Z; Tao X; Du H; Wang J; Huang L; He C; Zhao Z; Mao X; Ai Y; Zhang B; Liu M; Xu H; Jiang Z; Sun Y; Li X; Liu Z; Chen J; Song Y; Liu G; Luo C; Li Y; Zeng X; Liu J; Zhu Y; Wu L; Yu H
    J Gastroenterol; 2023 Oct; 58(10):978-989. PubMed ID: 37515597
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and validation of a real-time artificial intelligence-assisted system for detecting early gastric cancer: A multicentre retrospective diagnostic study.
    Tang D; Wang L; Ling T; Lv Y; Ni M; Zhan Q; Fu Y; Zhuang D; Guo H; Dou X; Zhang W; Xu G; Zou X
    EBioMedicine; 2020 Dec; 62():103146. PubMed ID: 33254026
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.