BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

220 related articles for article (PubMed ID: 32528084)

  • 1. Diagnostic evaluation of a deep learning model for optical diagnosis of colorectal cancer.
    Zhou D; Tian F; Tian X; Sun L; Huang X; Zhao F; Zhou N; Chen Z; Zhang Q; Yang M; Yang Y; Guo X; Li Z; Liu J; Wang J; Wang J; Wang B; Zhang G; Sun B; Zhang W; Kong D; Chen K; Li X
    Nat Commun; 2020 Jun; 11(1):2961. PubMed ID: 32528084
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A retrospective analysis using deep-learning models for prediction of survival outcome and benefit of adjuvant chemotherapy in stage II/III colorectal cancer.
    Li X; Jonnagaddala J; Yang S; Zhang H; Xu XS
    J Cancer Res Clin Oncol; 2022 Aug; 148(8):1955-1963. PubMed ID: 35332389
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy.
    Yamada M; Saito Y; Imaoka H; Saiko M; Yamada S; Kondo H; Takamaru H; Sakamoto T; Sese J; Kuchiba A; Shibata T; Hamamoto R
    Sci Rep; 2019 Oct; 9(1):14465. PubMed ID: 31594962
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Establishment of noninvasive diabetes risk prediction model based on tongue features and machine learning techniques.
    Li J; Chen Q; Hu X; Yuan P; Cui L; Tu L; Cui J; Huang J; Jiang T; Ma X; Yao X; Zhou C; Lu H; Xu J
    Int J Med Inform; 2021 May; 149():104429. PubMed ID: 33647600
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study.
    Faes L; Wagner SK; Fu DJ; Liu X; Korot E; Ledsam JR; Back T; Chopra R; Pontikos N; Kern C; Moraes G; Schmid MK; Sim D; Balaskas K; Bachmann LM; Denniston AK; Keane PA
    Lancet Digit Health; 2019 Sep; 1(5):e232-e242. PubMed ID: 33323271
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Colorectal Polyp Image Detection and Classification through Grayscale Images and Deep Learning.
    Hsu CM; Hsu CC; Hsu ZM; Shih FY; Chang ML; Chen TH
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577209
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development and Validation of a Deep Learning Model for Earlier Detection of Cognitive Decline From Clinical Notes in Electronic Health Records.
    Wang L; Laurentiev J; Yang J; Lo YC; Amariglio RE; Blacker D; Sperling RA; Marshall GA; Zhou L
    JAMA Netw Open; 2021 Nov; 4(11):e2135174. PubMed ID: 34792589
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A MULTITASK DEEP-LEARNING SYSTEM FOR ASSESSMENT OF DIABETIC MACULAR ISCHEMIA ON OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IMAGES.
    Yang D; Sun Z; Shi J; Ran A; Tang F; Tang Z; Lok J; Szeto S; Chan J; Yip F; Zhang L; Meng Q; Rasmussen M; Grauslund J; Cheung CY
    Retina; 2022 Jan; 42(1):184-194. PubMed ID: 34432726
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Colorectal Cancer Detected by Machine Learning Models Using Conventional Laboratory Test Data.
    Li H; Lin J; Xiao Y; Zheng W; Zhao L; Yang X; Zhong M; Liu H
    Technol Cancer Res Treat; 2021; 20():15330338211058352. PubMed ID: 34806496
    [No Abstract]   [Full Text] [Related]  

  • 10. Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.
    Hornbrook MC; Goshen R; Choman E; O'Keeffe-Rosetti M; Kinar Y; Liles EG; Rust KC
    Dig Dis Sci; 2017 Oct; 62(10):2719-2727. PubMed ID: 28836087
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Robust automated prediction of the revised Vienna Classification in colonoscopy using deep learning: development and initial external validation.
    Yamada M; Shino R; Kondo H; Yamada S; Takamaru H; Sakamoto T; Bhandari P; Imaoka H; Kuchiba A; Shibata T; Saito Y; Hamamoto R
    J Gastroenterol; 2022 Nov; 57(11):879-889. PubMed ID: 35972582
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multicentre prospective evaluation of real-time optical diagnosis of T1 colorectal cancer in large non-pedunculated colorectal polyps using narrow band imaging (the OPTICAL study).
    Backes Y; Schwartz MP; Ter Borg F; Wolfhagen FHJ; Groen JN; de Vos Tot Nederveen Cappel WH; van Bergeijk J; Geesing JMJ; Spanier BWM; Didden P; Vleggaar FP; Lacle MM; Elias SG; Moons LMG;
    Gut; 2019 Feb; 68(2):271-279. PubMed ID: 29298873
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Multi-step validation of a deep learning-based system for the quantification of bowel preparation: a prospective, observational study.
    Zhou W; Yao L; Wu H; Zheng B; Hu S; Zhang L; Li X; He C; Wang Z; Li Y; Huang C; Guo M; Zhang X; Zhu Q; Wu L; Deng Y; Zhang J; Tan W; Li C; Zhang C; Gong R; Du H; Zhou J; Sharma P; Yu H
    Lancet Digit Health; 2021 Nov; 3(11):e697-e706. PubMed ID: 34538736
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video).
    Lu Z; Xu Y; Yao L; Zhou W; Gong W; Yang G; Guo M; Zhang B; Huang X; He C; Zhou R; Deng Y; Yu H
    Gastrointest Endosc; 2022 Jun; 95(6):1186-1194.e3. PubMed ID: 34919941
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning in CT colonography: differentiating premalignant from benign colorectal polyps.
    Wesp P; Grosu S; Graser A; Maurus S; Schulz C; Knösel T; Fabritius MP; Schachtner B; Yeh BM; Cyran CC; Ricke J; Kazmierczak PM; Ingrisch M
    Eur Radiol; 2022 Jul; 32(7):4749-4759. PubMed ID: 35083528
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Endoscopists can sustain high performance for the optical diagnosis of colorectal polyps following standardized and continued training.
    McGill SK; Soetikno R; Rastogi A; Rouse RV; Sato T; Bansal A; McQuaid K; Kaltenbach T
    Endoscopy; 2015 Mar; 47(3):200-6. PubMed ID: 25264764
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Self-Supervised Learning for Improved Optical Coherence Tomography Detection of Macular Telangiectasia Type 2.
    Gholami S; Scheppke L; Kshirsagar M; Wu Y; Dodhia R; Bonelli R; Leung I; Sallo FB; Muldrew A; Jamison C; Peto T; Lavista Ferres J; Weeks WB; Friedlander M; Lee AY;
    JAMA Ophthalmol; 2024 Mar; 142(3):226-233. PubMed ID: 38329740
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Quality of colonoscopy in an organised colorectal cancer screening programme with immunochemical faecal occult blood test: the EQuIPE study (Evaluating Quality Indicators of the Performance of Endoscopy).
    Zorzi M; Senore C; Da Re F; Barca A; Bonelli LA; Cannizzaro R; Fasoli R; Di Furia L; Di Giulio E; Mantellini P; Naldoni C; Sassatelli R; Rex D; Hassan C; Zappa M;
    Gut; 2015 Sep; 64(9):1389-96. PubMed ID: 25227521
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Improved Accuracy in Optical Diagnosis of Colorectal Polyps Using Convolutional Neural Networks with Visual Explanations.
    Jin EH; Lee D; Bae JH; Kang HY; Kwak MS; Seo JY; Yang JI; Yang SY; Lim SH; Yim JY; Lim JH; Chung GE; Chung SJ; Choi JM; Han YM; Kang SJ; Lee J; Chan Kim H; Kim JS
    Gastroenterology; 2020 Jun; 158(8):2169-2179.e8. PubMed ID: 32119927
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Efficacy of Real-Time Computer-Aided Detection of Colorectal Neoplasia in a Randomized Trial.
    Repici A; Badalamenti M; Maselli R; Correale L; Radaelli F; Rondonotti E; Ferrara E; Spadaccini M; Alkandari A; Fugazza A; Anderloni A; Galtieri PA; Pellegatta G; Carrara S; Di Leo M; Craviotto V; Lamonaca L; Lorenzetti R; Andrealli A; Antonelli G; Wallace M; Sharma P; Rosch T; Hassan C
    Gastroenterology; 2020 Aug; 159(2):512-520.e7. PubMed ID: 32371116
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.