215 related articles for article (PubMed ID: 34101764)
1. Development and validation of artificial intelligence to detect and diagnose liver lesions from ultrasound images.
Tiyarattanachai T; Apiparakoon T; Marukatat S; Sukcharoen S; Geratikornsupuk N; Anukulkarnkusol N; Mekaroonkamol P; Tanpowpong N; Sarakul P; Rerknimitr R; Chaiteerakij R
PLoS One; 2021; 16(6):e0252882. PubMed ID: 34101764
[TBL] [Abstract][Full Text] [Related]
2. Application of artificial intelligence using a novel EUS-based convolutional neural network model to identify and distinguish benign and malignant hepatic masses.
Marya NB; Powers PD; Fujii-Lau L; Abu Dayyeh BK; Gleeson FC; Chen S; Long Z; Hough DM; Chandrasekhara V; Iyer PG; Rajan E; Sanchez W; Sawas T; Storm AC; Wang KK; Levy MJ
Gastrointest Endosc; 2021 May; 93(5):1121-1130.e1. PubMed ID: 32861752
[TBL] [Abstract][Full Text] [Related]
3. Computer-aided diagnosis for the classification of focal liver lesions by use of contrast-enhanced ultrasonography.
Shiraishi J; Sugimoto K; Moriyasu F; Kamiyama N; Doi K
Med Phys; 2008 May; 35(5):1734-46. PubMed ID: 18561648
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Artificial intelligence assists operators in real-time detection of focal liver lesions during ultrasound: A randomized controlled study.
Tiyarattanachai T; Apiparakoon T; Chaichuen O; Sukcharoen S; Yimsawad S; Jangsirikul S; Chaikajornwat J; Siriwong N; Burana C; Siritaweechai N; Atipas K; Assawamasbunlue N; Tovichayathamrong P; Obcheuythed P; Somvanapanich P; Geratikornsupuk N; Anukulkarnkusol N; Sarakul P; Tanpowpong N; Pinjaroen N; Kerr SJ; Rerknimitr R; Marukatat S; Chaiteerakij R
Eur J Radiol; 2023 Aug; 165():110932. PubMed ID: 37390663
[TBL] [Abstract][Full Text] [Related]
6. The feasibility to use artificial intelligence to aid detecting focal liver lesions in real-time ultrasound: a preliminary study based on videos.
Tiyarattanachai T; Apiparakoon T; Marukatat S; Sukcharoen S; Yimsawad S; Chaichuen O; Bhumiwat S; Tanpowpong N; Pinjaroen N; Rerknimitr R; Chaiteerakij R
Sci Rep; 2022 May; 12(1):7749. PubMed ID: 35545628
[TBL] [Abstract][Full Text] [Related]
7. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis.
Ma H; Wang L; Chen Y; Tian L
Saudi J Gastroenterol; 2022; 28(5):332-340. PubMed ID: 35848703
[TBL] [Abstract][Full Text] [Related]
8. Improving B-mode ultrasound diagnostic performance for focal liver lesions using deep learning: A multicentre study.
Yang Q; Wei J; Hao X; Kong D; Yu X; Jiang T; Xi J; Cai W; Luo Y; Jing X; Yang Y; Cheng Z; Wu J; Zhang H; Liao J; Zhou P; Song Y; Zhang Y; Han Z; Cheng W; Tang L; Liu F; Dou J; Zheng R; Yu J; Tian J; Liang P
EBioMedicine; 2020 Jun; 56():102777. PubMed ID: 32485640
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Multiphase convolutional dense network for the classification of focal liver lesions on dynamic contrast-enhanced computed tomography.
Cao SE; Zhang LQ; Kuang SC; Shi WQ; Hu B; Xie SD; Chen YN; Liu H; Chen SM; Jiang T; Ye M; Zhang HX; Wang J
World J Gastroenterol; 2020 Jul; 26(25):3660-3672. PubMed ID: 32742134
[TBL] [Abstract][Full Text] [Related]
11. Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.
Li X; Zhang S; Zhang Q; Wei X; Pan Y; Zhao J; Xin X; Qin C; Wang X; Li J; Yang F; Zhao Y; Yang M; Wang Q; Zheng Z; Zheng X; Yang X; Whitlow CT; Gurcan MN; Zhang L; Wang X; Pasche BC; Gao M; Zhang W; Chen K
Lancet Oncol; 2019 Feb; 20(2):193-201. PubMed ID: 30583848
[TBL] [Abstract][Full Text] [Related]
12. Deep Learning for the Detection, Localization, and Characterization of Focal Liver Lesions on Abdominal US Images.
Dadoun H; Rousseau AL; de Kerviler E; Correas JM; Tissier AM; Joujou F; Bodard S; Khezzane K; de Margerie-Mellon C; Delingette H; Ayache N
Radiol Artif Intell; 2022 May; 4(3):e210110. PubMed ID: 35652113
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Computer-aided diagnosis of focal liver lesions by use of physicians' subjective classification of echogenic patterns in baseline and contrast-enhanced ultrasonography.
Sugimoto K; Shiraishi J; Moriyasu F; Doi K
Acad Radiol; 2009 Apr; 16(4):401-11. PubMed ID: 19268851
[TBL] [Abstract][Full Text] [Related]
15. Grading of hepatocellular carcinoma based on diffusion weighted images with multiple b-values using convolutional neural networks.
Zhou W; Wang G; Xie G; Zhang L
Med Phys; 2019 Sep; 46(9):3951-3960. PubMed ID: 31169907
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence assists identifying malignant versus benign liver lesions using contrast-enhanced ultrasound.
Hu HT; Wang W; Chen LD; Ruan SM; Chen SL; Li X; Lu MD; Xie XY; Kuang M
J Gastroenterol Hepatol; 2021 Oct; 36(10):2875-2883. PubMed ID: 33880797
[TBL] [Abstract][Full Text] [Related]
17. Artificial intelligence-based diagnostic system classifying gastric cancers and ulcers: comparison between the original and newly developed systems.
Namikawa K; Hirasawa T; Nakano K; Ikenoyama Y; Ishioka M; Shiroma S; Tokai Y; Yoshimizu S; Horiuchi Y; Ishiyama A; Yoshio T; Tsuchida T; Fujisaki J; Tada T
Endoscopy; 2020 Dec; 52(12):1077-1083. PubMed ID: 32503056
[TBL] [Abstract][Full Text] [Related]
18. Applications of Artificial Intelligence in the Automatic Diagnosis of Focal Liver Lesions: A Systematic Review.
Popa SL; Grad S; Chiarioni G; Masier A; Peserico G; Brata VD; Dumitrascu DI; Fantin A
J Gastrointestin Liver Dis; 2023 Apr; 32(1):77-85. PubMed ID: 37004221
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Real-time artificial intelligence for detection of upper gastrointestinal cancer by endoscopy: a multicentre, case-control, diagnostic study.
Luo H; Xu G; Li C; He L; Luo L; Wang Z; Jing B; Deng Y; Jin Y; Li Y; Li B; Tan W; He C; Seeruttun SR; Wu Q; Huang J; Huang DW; Chen B; Lin SB; Chen QM; Yuan CM; Chen HX; Pu HY; Zhou F; He Y; Xu RH
Lancet Oncol; 2019 Dec; 20(12):1645-1654. PubMed ID: 31591062
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
