276 related articles for article (PubMed ID: 34369001)
1. 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]
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. 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]
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. 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]
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. 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]
8. Efficacy of endoscopic ultrasound with artificial intelligence for the diagnosis of gastrointestinal stromal tumors.
Minoda Y; Ihara E; Komori K; Ogino H; Otsuka Y; Chinen T; Tsuda Y; Ando K; Yamamoto H; Ogawa Y
J Gastroenterol; 2020 Dec; 55(12):1119-1126. PubMed ID: 32918102
[TBL] [Abstract][Full Text] [Related]
9. Artificial intelligence-based diagnosis of standard endoscopic ultrasonography scanning sites in the biliopancreatic system: a multicenter retrospective study.
Tian S; Shi H; Chen W; Li S; Han C; Du F; Wang W; Wen H; Lei Y; Deng L; Tang J; Zhang J; Lin J; Shi L; Ning B; Zhao K; Miao J; Wang G; Hou H; Huang X; Kong W; Jin X; Ding Z; Lin R
Int J Surg; 2024 Mar; 110(3):1637-1644. PubMed ID: 38079604
[TBL] [Abstract][Full Text] [Related]
10. Convolutional neural network applied to preoperative venous-phase CT images predicts risk category in patients with gastric gastrointestinal stromal tumors.
Wang J; Shao M; Hu H; Xiao W; Cheng G; Yang G; Ji H; Yu S; Wan J; Xie Z; Xu M
BMC Cancer; 2024 Mar; 24(1):280. PubMed ID: 38429653
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Diagnostic accuracy of endoscopic ultrasound with artificial intelligence for gastrointestinal stromal tumors: A meta-analysis.
Ye XH; Zhao LL; Wang L
J Dig Dis; 2022 May; 23(5-6):253-261. PubMed ID: 35793389
[TBL] [Abstract][Full Text] [Related]
13. Use of a Convolutional Neural Network to Predict the Malignant Potential of Gastrointestinal Stromal Tumors in Transabdominal Ultrasound Images: Visualization of the Focus of the Prediction Model.
Zhuo M; Chen X; Tang Y; Guo J; Tang X; Qian Q; Xue E; Chen Z
Ultrasound Med Biol; 2023 Sep; 49(9):1951-1959. PubMed ID: 37291007
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. TN-USMA Net: Triple normalization-based gastrointestinal stromal tumors classification on multicenter EUS images with ultrasound-specific pretraining and meta attention.
Liu C; Qiao M; Jiang F; Guo Y; Jin Z; Wang Y
Med Phys; 2021 Nov; 48(11):7199-7214. PubMed ID: 34412155
[TBL] [Abstract][Full Text] [Related]
16. Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network.
Liu GS; Huang PY; Wen ML; Zhuang SS; Hua J; He XP
World J Gastroenterol; 2022 Jun; 28(22):2457-2467. PubMed ID: 35979257
[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. The value of contrast-enhanced harmonic endoscopic ultrasound in differential diagnosis and evaluation of malignant risk of gastrointestinal stromal tumors (<50mm).
Wu J; Zhuang M; Zhou Y; Zhan X; Xie W
Scand J Gastroenterol; 2023 May; 58(5):542-548. PubMed ID: 36369879
[TBL] [Abstract][Full Text] [Related]
19. Efficacy of ultrasound endoscopy with artificial intelligence for the differential diagnosis of non-gastric gastrointestinal stromal tumors.
Minoda Y; Ihara E; Fujimori N; Nagatomo S; Esaki M; Hata Y; Bai X; Tanaka Y; Ogino H; Chinen T; Hu Q; Oki E; Yamamoto H; Ogawa Y
Sci Rep; 2022 Oct; 12(1):16640. PubMed ID: 36198726
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
