272 related articles for article (PubMed ID: 33959495)
21. Deep learning with convolutional neural network in the assessment of breast cancer molecular subtypes based on US images: a multicenter retrospective study.
Jiang M; Zhang D; Tang SC; Luo XM; Chuan ZR; Lv WZ; Jiang F; Ni XJ; Cui XW; Dietrich CF
Eur Radiol; 2021 Jun; 31(6):3673-3682. PubMed ID: 33226454
[TBL] [Abstract][Full Text] [Related]
22. Computer-aided diagnosis of prostate cancer using a deep convolutional neural network from multiparametric MRI.
Song Y; Zhang YD; Yan X; Liu H; Zhou M; Hu B; Yang G
J Magn Reson Imaging; 2018 Dec; 48(6):1570-1577. PubMed ID: 29659067
[TBL] [Abstract][Full Text] [Related]
23. Deep convolutional neural network based on CT images of pulmonary nodules in the lungs of adolescent and young adult patients with osteosarcoma.
Ni YL; Zheng XC; Shi XJ; Xu YF; Li H
Oncol Lett; 2023 Aug; 26(2):344. PubMed ID: 37427350
[TBL] [Abstract][Full Text] [Related]
24. Application of artificial intelligence using convolutional neural networks in determining the invasion depth of esophageal squamous cell carcinoma.
Tokai Y; Yoshio T; Aoyama K; Horie Y; Yoshimizu S; Horiuchi Y; Ishiyama A; Tsuchida T; Hirasawa T; Sakakibara Y; Yamada T; Yamaguchi S; Fujisaki J; Tada T
Esophagus; 2020 Jul; 17(3):250-256. PubMed ID: 31980977
[TBL] [Abstract][Full Text] [Related]
25. Deep convolutional neural network-based skeletal classification of cephalometric image compared with automated-tracing software.
Kim HJ; Kim KD; Kim DH
Sci Rep; 2022 Jul; 12(1):11659. PubMed ID: 35804075
[TBL] [Abstract][Full Text] [Related]
26. Deep Convolutional Neural Network Based on Computed Tomography Images for the Preoperative Diagnosis of Occult Peritoneal Metastasis in Advanced Gastric Cancer.
Huang Z; Liu D; Chen X; He D; Yu P; Liu B; Wu B; Hu J; Song B
Front Oncol; 2020; 10():601869. PubMed ID: 33224893
[TBL] [Abstract][Full Text] [Related]
27. 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]
28. 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]
29. Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
Ciritsis A; Rossi C; Eberhard M; Marcon M; Becker AS; Boss A
Eur Radiol; 2019 Oct; 29(10):5458-5468. PubMed ID: 30927100
[TBL] [Abstract][Full Text] [Related]
30. Applied Machine Learning in Spiral Breast-CT: Can We Train a Deep Convolutional Neural Network for Automatic, Standardized and Observer Independent Classification of Breast Density?
Landsmann A; Wieler J; Hejduk P; Ciritsis A; Borkowski K; Rossi C; Boss A
Diagnostics (Basel); 2022 Jan; 12(1):. PubMed ID: 35054348
[TBL] [Abstract][Full Text] [Related]
31. Computer-aided diagnosis of laryngeal cancer via deep learning based on laryngoscopic images.
Xiong H; Lin P; Yu JG; Ye J; Xiao L; Tao Y; Jiang Z; Lin W; Liu M; Xu J; Hu W; Lu Y; Liu H; Li Y; Zheng Y; Yang H
EBioMedicine; 2019 Oct; 48():92-99. PubMed ID: 31594753
[TBL] [Abstract][Full Text] [Related]
32. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.
Sim Y; Chung MJ; Kotter E; Yune S; Kim M; Do S; Han K; Kim H; Yang S; Lee DJ; Choi BW
Radiology; 2020 Jan; 294(1):199-209. PubMed ID: 31714194
[TBL] [Abstract][Full Text] [Related]
33. COMPUTER-AIDED DIAGNOSIS IMPROVES CHARACTERIZATION OF BARRETT'S NEOPLASIA BY GENERAL ENDOSCOPISTS.
Jukema JB; Kusters CHJ; Jong MR; Fockens KN; Boers T; van der Putten JA; Pouw RE; Duits LC; Weusten BAM; Herrero LA; Houben MHMG; Nagengast WB; Westerhof J; Alkhalaf A; Mallant-Hent R; Scholten P; Ragunath K; Seewald S; Elbe P; Silva FB; Barret M; Fernández-Sordo JO; Villarejo GM; Pech O; Beyna T; Montazeri NSM; van der Sommen F; de With PH; de Groof AJ; Bergman JJ;
Gastrointest Endosc; 2024 Apr; ():. PubMed ID: 38636819
[TBL] [Abstract][Full Text] [Related]
34. Artificial intelligence for diagnosing gastric lesions under white-light endoscopy.
Yuan XL; Zhou Y; Liu W; Luo Q; Zeng XH; Yi Z; Hu B
Surg Endosc; 2022 Dec; 36(12):9444-9453. PubMed ID: 35879572
[TBL] [Abstract][Full Text] [Related]
35. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images.
Hirasawa T; Aoyama K; Tanimoto T; Ishihara S; Shichijo S; Ozawa T; Ohnishi T; Fujishiro M; Matsuo K; Fujisaki J; Tada T
Gastric Cancer; 2018 Jul; 21(4):653-660. PubMed ID: 29335825
[TBL] [Abstract][Full Text] [Related]
36. A study on the improvement in the ability of endoscopists to diagnose gastric neoplasms using an artificial intelligence system.
Zhang B; Zhang W; Yao H; Qiao J; Zhang H; Song Y
Front Med (Lausanne); 2024; 11():1323516. PubMed ID: 38348337
[TBL] [Abstract][Full Text] [Related]
37. 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]
38. Endoscopists' diagnostic accuracy in detecting upper gastrointestinal neoplasia in the framework of artificial intelligence studies.
Frazzoni L; Arribas J; Antonelli G; Libanio D; Ebigbo A; van der Sommen F; de Groof AJ; Fukuda H; Ohmori M; Ishihara R; Wu L; Yu H; Mori Y; Repici A; Bergman JJGHM; Sharma P; Messmann H; Hassan C; Fuccio L; Dinis-Ribeiro M
Endoscopy; 2022 Apr; 54(4):403-411. PubMed ID: 33951743
[TBL] [Abstract][Full Text] [Related]
39. Detection of microcalcifications in photon-counting dedicated breast-CT using a deep convolutional neural network: Proof of principle.
Landsmann A; Ruppert C; Borkowski K; Hejduk P; Ciritsis A; Wieler J; Rossi C; Boss A
Clin Imaging; 2023 Mar; 95():28-36. PubMed ID: 36603416
[TBL] [Abstract][Full Text] [Related]
40. Application of an artificial intelligence system for endoscopic diagnosis of superficial esophageal squamous cell carcinoma.
Meng QQ; Gao Y; Lin H; Wang TJ; Zhang YR; Feng J; Li ZS; Xin L; Wang LW
World J Gastroenterol; 2022 Oct; 28(37):5483-5493. PubMed ID: 36312830
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]