BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

210 related articles for article (PubMed ID: 33003602)

  • 1. Application of A Convolutional Neural Network in The Diagnosis of Gastric Mesenchymal Tumors on Endoscopic Ultrasonography Images.
    Kim YH; Kim GH; Kim KB; Lee MW; Lee BE; Baek DH; Kim DH; Park JC
    J Clin Med; 2020 Sep; 9(10):. PubMed ID: 33003602
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Differentiating Gastrointestinal Stromal Tumors from Leiomyomas Using a Neural Network Trained on Endoscopic Ultrasonography Images.
    Seven G; Silahtaroglu G; Seven OO; Senturk H
    Dig Dis; 2022; 40(4):427-435. PubMed ID: 34619683
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Convolutional neural network-based object detection model to identify gastrointestinal stromal tumors in endoscopic ultrasound images.
    Oh CK; Kim T; Cho YK; Cheung DY; Lee BI; Cho YS; Kim JI; Choi MG; Lee HH; Lee S
    J Gastroenterol Hepatol; 2021 Dec; 36(12):3387-3394. PubMed ID: 34369001
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Differentiating Gastrointestinal Stromal Tumors From Leiomyomas of Upper Digestive Tract Using Convolutional Neural Network Model by Endoscopic Ultrasonography.
    Liu J; Huang J; Song Y; He Q; Fang W; Wang T; Zheng Z; Liu W
    J Clin Gastroenterol; 2023 Aug; ():. PubMed ID: 37646533
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Digital image analysis of endoscopic ultrasonography is helpful in diagnosing gastric mesenchymal tumors.
    Kim GH; Kim KB; Lee SH; Jeon HK; Park DY; Jeon TY; Kim DH; Song GA
    BMC Gastroenterol; 2014 Jan; 14():7. PubMed ID: 24400772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A combined radiomic model distinguishing GISTs from leiomyomas and schwannomas in the stomach based on endoscopic ultrasonography images.
    Zhang XD; Zhang L; Gong TT; Wang ZR; Guo KL; Li J; Chen Y; Zhang JT; Ye BG; Ding J; Zhu JW; Liu F; Hu DM; Chen J; Zhou CH; Zou DW
    J Appl Clin Med Phys; 2023 Jul; 24(7):e14023. PubMed ID: 37166416
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Artificial intelligence-based diagnosis of upper gastrointestinal subepithelial lesions on endoscopic ultrasonography images.
    Hirai K; Kuwahara T; Furukawa K; Kakushima N; Furune S; Yamamoto H; Marukawa T; Asai H; Matsui K; Sasaki Y; Sakai D; Yamada K; Nishikawa T; Hayashi D; Obayashi T; Komiyama T; Ishikawa E; Sawada T; Maeda K; Yamamura T; Ishikawa T; Ohno E; Nakamura M; Kawashima H; Ishigami M; Fujishiro M
    Gastric Cancer; 2022 Mar; 25(2):382-391. PubMed ID: 34783924
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial Intelligence in the Prediction of Gastrointestinal Stromal Tumors on Endoscopic Ultrasonography Images: Development, Validation and Comparison with Endosonographers.
    Lu Y; Wu J; Hu M; Zhong Q; Er L; Shi H; Cheng W; Chen K; Liu Y; Qiu B; Xu Q; Lai G; Wang Y; Luo Y; Mu J; Zhang W; Zhi M; Sun J
    Gut Liver; 2023 Nov; 17(6):874-883. PubMed ID: 36700302
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Application of convolutional neural network in the diagnosis of the invasion depth of gastric cancer based on conventional endoscopy.
    Zhu Y; Wang QC; Xu MD; Zhang Z; Cheng J; Zhong YS; Zhang YQ; Chen WF; Yao LQ; Zhou PH; Li QL
    Gastrointest Endosc; 2019 Apr; 89(4):806-815.e1. PubMed ID: 30452913
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Value of artificial intelligence with novel tumor tracking technology in the diagnosis of gastric submucosal tumors by contrast-enhanced harmonic endoscopic ultrasonography.
    Tanaka H; Kamata K; Ishihara R; Handa H; Otsuka Y; Yoshida A; Yoshikawa T; Ishikawa R; Okamoto A; Yamazaki T; Nakai A; Omoto S; Minaga K; Yamao K; Takenaka M; Watanabe T; Nishida N; Kudo M
    J Gastroenterol Hepatol; 2022 May; 37(5):841-846. PubMed ID: 35043456
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Efficacy of real-time artificial intelligence-aid endoscopic ultrasonography diagnostic system in discriminating gastrointestinal stromal tumors and leiomyomas: a multicenter diagnostic study.
    Dong Z; Zhao X; Zheng H; Zheng H; Chen D; Cao J; Xiao Z; Sun Y; Zhuang Q; Wu S; Xia J; Ning M; Qin B; Zhou H; Bao J; Wan X
    EClinicalMedicine; 2024 Jul; 73():102656. PubMed ID: 38828130
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Digital image analysis-based scoring system for endoscopic ultrasonography is useful in predicting gastrointestinal stromal tumors.
    Lee MW; Kim GH; Kim KB; Kim YH; Park DY; Choi CI; Kim DH; Jeon TY
    Gastric Cancer; 2019 Sep; 22(5):980-987. PubMed ID: 30778798
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Is it possible to differentiate gastric GISTs from gastric leiomyomas by EUS?
    Kim GH; Park DY; Kim S; Kim DH; Kim DH; Choi CW; Heo J; Song GA
    World J Gastroenterol; 2009 Jul; 15(27):3376-81. PubMed ID: 19610138
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Use of Artificial Intelligence in the Prediction of Malignant Potential of Gastric Gastrointestinal Stromal Tumors.
    Seven G; Silahtaroglu G; Kochan K; Ince AT; Arici DS; Senturk H
    Dig Dis Sci; 2022 Jan; 67(1):273-281. PubMed ID: 33547537
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of artificial intelligence in the diagnosis of subepithelial lesions using endoscopic ultrasonography: a systematic review and meta-analysis.
    Liu XY; Song W; Mao T; Zhang Q; Zhang C; Li XY
    Front Oncol; 2022; 12():915481. PubMed ID: 36046054
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Endoscopic ultrasound artificial intelligence-assisted for prediction of gastrointestinal stromal tumors diagnosis: A systematic review and meta-analysis.
    Gomes RSA; de Oliveira GHP; de Moura DTH; Kotinda APST; Matsubayashi CO; Hirsch BS; Veras MO; Ribeiro Jordão Sasso JG; Trasolini RP; Bernardo WM; de Moura EGH
    World J Gastrointest Endosc; 2023 Aug; 15(8):528-539. PubMed ID: 37663113
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial intelligence in endoscopic ultrasonography: risk stratification of gastric gastrointestinal stromal tumors.
    Lu Y; Chen L; Wu J; Er L; Shi H; Cheng W; Chen K; Liu Y; Qiu B; Xu Q; Feng Y; Tang N; Wan F; Sun J; Zhi M
    Therap Adv Gastroenterol; 2023; 16():17562848231177156. PubMed ID: 37274299
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diagnosing Gastric Mesenchymal Tumors by Digital Endoscopic Ultrasonography Image Analysis.
    Lee MW; Kim GH
    Clin Endosc; 2021 May; 54(3):324-328. PubMed ID: 32549523
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging.
    Li L; Chen Y; Shen Z; Zhang X; Sang J; Ding Y; Yang X; Li J; Chen M; Jin C; Chen C; Yu C
    Gastric Cancer; 2020 Jan; 23(1):126-132. PubMed ID: 31332619
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.