BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

114 related articles for article (PubMed ID: 33763362)

  • 21. 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]  

  • 22. Treatment response prediction of neoadjuvant chemotherapy for rectal cancer by deep learning of colonoscopy images.
    Kato S; Miyoshi N; Fujino S; Minami S; Nagae A; Hayashi R; Sekido Y; Hata T; Hamabe A; Ogino T; Tei M; Kagawa Y; Takahashi H; Uemura M; Yamamoto H; Doki Y; Eguchi H
    Oncol Lett; 2023 Nov; 26(5):474. PubMed ID: 37809043
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Artificial intelligence using a convolutional neural network for automatic detection of small-bowel angioectasia in capsule endoscopy images.
    Tsuboi A; Oka S; Aoyama K; Saito H; Aoki T; Yamada A; Matsuda T; Fujishiro M; Ishihara S; Nakahori M; Koike K; Tanaka S; Tada T
    Dig Endosc; 2020 Mar; 32(3):382-390. PubMed ID: 31392767
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Predicting the Debonding of CAD/CAM Composite Resin Crowns with AI.
    Yamaguchi S; Lee C; Karaer O; Ban S; Mine A; Imazato S
    J Dent Res; 2019 Oct; 98(11):1234-1238. PubMed ID: 31379234
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.
    Han SS; Park GH; Lim W; Kim MS; Na JI; Park I; Chang SE
    PLoS One; 2018; 13(1):e0191493. PubMed ID: 29352285
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Analysis of the role and robustness of artificial intelligence in commodity image recognition under deep learning neural network.
    Chen R; Wang M; Lai Y
    PLoS One; 2020; 15(7):e0235783. PubMed ID: 32634167
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data.
    Zhen SH; Cheng M; Tao YB; Wang YF; Juengpanich S; Jiang ZY; Jiang YK; Yan YY; Lu W; Lue JM; Qian JH; Wu ZY; Sun JH; Lin H; Cai XJ
    Front Oncol; 2020; 10():680. PubMed ID: 32547939
    [No Abstract]   [Full Text] [Related]  

  • 28. A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task.
    Brinker TJ; Hekler A; Enk AH; Klode J; Hauschild A; Berking C; Schilling B; Haferkamp S; Schadendorf D; Fröhling S; Utikal JS; von Kalle C;
    Eur J Cancer; 2019 Apr; 111():148-154. PubMed ID: 30852421
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep learning system assisted detection and localization of lumbar spondylolisthesis.
    Zhang J; Lin H; Wang H; Xue M; Fang Y; Liu S; Huo T; Zhou H; Yang J; Xie Y; Xie M; Cheng L; Lu L; Liu P; Ye Z
    Front Bioeng Biotechnol; 2023; 11():1194009. PubMed ID: 37539438
    [No Abstract]   [Full Text] [Related]  

  • 30. [Integration of production-university-research based on artificial intelligence for technological innovation and transformation in gastrointestinal surgery].
    Liu GW; Li S; Chen YJ; Lu Y
    Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Jun; 23(6):557-561. PubMed ID: 32521974
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Deep Learning for Image Quality Assessment of Fundus Images in Retinopathy of Prematurity.
    Coyner AS; Swan R; Brown JM; Kalpathy-Cramer J; Kim SJ; Campbell JP; Jonas KE; Ostmo S; Chan RVP; Chiang MF
    AMIA Annu Symp Proc; 2018; 2018():1224-1232. PubMed ID: 30815164
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Artificial Intelligence-Based Multimodal Risk Assessment Model for Surgical Site Infection (AMRAMS): Development and Validation Study.
    Chen W; Lu Z; You L; Zhou L; Xu J; Chen K
    JMIR Med Inform; 2020 Jun; 8(6):e18186. PubMed ID: 32538798
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.
    Hamm CA; Wang CJ; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Duncan JS; Weinreb JC; Chapiro J; Letzen B
    Eur Radiol; 2019 Jul; 29(7):3338-3347. PubMed ID: 31016442
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately.
    Ning X; Liu R; Wang N; Xiao X; Wu S; Wang Y; Yi C; He Y; Li D; Chen H
    Int J Biochem Cell Biol; 2023 Sep; 162():106452. PubMed ID: 37482265
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Automatic model for cervical cancer screening based on convolutional neural network: a retrospective, multicohort, multicenter study.
    Tan X; Li K; Zhang J; Wang W; Wu B; Wu J; Li X; Huang X
    Cancer Cell Int; 2021 Jan; 21(1):35. PubMed ID: 33413391
    [TBL] [Abstract][Full Text] [Related]  

  • 36. 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]  

  • 37. Recognition of Cutaneous Melanoma on Digitized Histopathological Slides
    De Logu F; Ugolini F; Maio V; Simi S; Cossu A; Massi D; ; Nassini R; Laurino M
    Front Oncol; 2020; 10():1559. PubMed ID: 33014803
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Deep Learning for Automatic Diagnosis and Morphologic Characterization of Malignant Biliary Strictures Using Digital Cholangioscopy: A Multicentric Study.
    Saraiva MM; Ribeiro T; González-Haba M; Agudo Castillo B; Ferreira JPS; Vilas Boas F; Afonso J; Mendes F; Martins M; Cardoso P; Pereira P; Macedo G
    Cancers (Basel); 2023 Oct; 15(19):. PubMed ID: 37835521
    [TBL] [Abstract][Full Text] [Related]  

  • 39. A deep convolutional neural network-based method for laryngeal squamous cell carcinoma diagnosis.
    He Y; Cheng Y; Huang Z; Xu W; Hu R; Cheng L; He S; Yue C; Qin G; Wang Y; Zhong Q
    Ann Transl Med; 2021 Dec; 9(24):1797. PubMed ID: 35071491
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Assessing Endoscopic Response in Locally Advanced Rectal Cancer Treated with Total Neoadjuvant Therapy: Development and Validation of a Highly Accurate Convolutional Neural Network.
    Williams H; Thompson HM; Lee C; Rangnekar A; Gomez JT; Widmar M; Wei IH; Pappou EP; Nash GM; Weiser MR; Paty PB; Smith JJ; Veeraraghavan H; Garcia-Aguilar J
    Ann Surg Oncol; 2024 May; ():. PubMed ID: 38700799
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.