BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 33368056)

  • 1. Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis.
    van der Zander QEW; Schreuder RM; Fonollà R; Scheeve T; van der Sommen F; Winkens B; Aepli P; Hayee B; Pischel AB; Stefanovic M; Subramaniam S; Bhandari P; de With PHN; Masclee AAM; Schoon EJ
    Endoscopy; 2021 Dec; 53(12):1219-1226. PubMed ID: 33368056
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Impact of computer-aided characterization for diagnosis of colorectal lesions, including sessile serrated lesions: Multireader, multicase study.
    Kato S; Kudo SE; Minegishi Y; Miyata Y; Maeda Y; Kuroki T; Takashina Y; Mochizuki K; Tamura E; Abe M; Sato Y; Sakurai T; Kouyama Y; Tanaka K; Ogawa Y; Nakamura H; Ichimasa K; Ogata N; Hisayuki T; Hayashi T; Wakamura K; Miyachi H; Baba T; Ishida F; Nemoto T; Misawa M;
    Dig Endosc; 2024 Mar; 36(3):341-350. PubMed ID: 37937532
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer-aided diagnosis for optical diagnosis of diminutive colorectal polyps including sessile serrated lesions: a real-time comparison with screening endoscopists.
    Houwen BBSL; Hazewinkel Y; Giotis I; Vleugels JLA; Mostafavi NS; van Putten P; Fockens P; Dekker E;
    Endoscopy; 2023 Aug; 55(8):756-765. PubMed ID: 36623839
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computer-aided diagnosis system for optical diagnosis of colorectal polyps under white light imaging.
    Cheng Y; Li L; Bi Y; Su S; Zhang B; Feng X; Wang N; Zhang W; Yao Y; Ru N; Xiang J; Sun L; Hu K; Wen F; Wang Z; Bai L; Wang X; Wang R; Lv X; Wang P; Meng F; Xiao W; Linghu E; Chai N
    Dig Liver Dis; 2024 May; ():. PubMed ID: 38744557
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optical diagnosis of colorectal polyps using novel blue light imaging classification among trainee endoscopists.
    Koehn C; Rex DK; Allen J; Bhatti U; Bhavsar-Burke I; Thoguluva Chandrasekar V; Challa A; Duvvuri A; Dakhoul L; Ha J; Hamade N; Hicks SB; Jansson-Knodell C; Krajicek E; Das Kundumadam S; Nutalapati V; Phatharacharukul PP; Razmdjou S; Saito A; Sarkis F; Sutton R; Wehbeh A; Sharma P; Desai M
    Dig Endosc; 2022 Jan; 34(1):191-197. PubMed ID: 34053136
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Performance of a new integrated computer-assisted system (CADe/CADx) for detection and characterization of colorectal neoplasia.
    Weigt J; Repici A; Antonelli G; Afifi A; Kliegis L; Correale L; Hassan C; Neumann H
    Endoscopy; 2022 Feb; 54(2):180-184. PubMed ID: 33494106
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Optical diagnosis of colorectal polyps with Blue Light Imaging using a new international classification.
    Subramaniam S; Hayee B; Aepli P; Schoon E; Stefanovic M; Kandiah K; Thayalasekaran S; Alkandari A; Bassett P; Coron E; Pech O; Hassan C; Neumann H; Bisschops R; Repici A; Bhandari P
    United European Gastroenterol J; 2019 Mar; 7(2):316-325. PubMed ID: 31080616
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Real-World Validation of a Computer-Aided Diagnosis System for Prediction of Polyp Histology in Colonoscopy: A Prospective Multicenter Study.
    Li JW; Wu CCH; Lee JWJ; Liang R; Soon GST; Wang LM; Koh XH; Koh CJ; Chew WD; Lin KW; Thian MY; Matthew R; Kim G; Khor CJL; Fock KM; Ang TL; So JBY;
    Am J Gastroenterol; 2023 Aug; 118(8):1353-1364. PubMed ID: 37040553
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic image and text-based description for colorectal polyps using BASIC classification.
    Fonollà R; van der Zander QEW; Schreuder RM; Subramaniam S; Bhandari P; Masclee AAM; Schoon EJ; van der Sommen F; de With PHN
    Artif Intell Med; 2021 Nov; 121():102178. PubMed ID: 34763800
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Blue-light imaging compared with high-definition white light for real-time histology prediction of colorectal polyps less than 1 centimeter: a prospective randomized study.
    Rondonotti E; Paggi S; Amato A; Mogavero G; Andrealli A; Conforti FS; Conte D; Spinzi G; Radaelli F
    Gastrointest Endosc; 2019 Mar; 89(3):554-564.e1. PubMed ID: 30273590
    [TBL] [Abstract][Full Text] [Related]  

  • 12. External validation of blue light imaging (BLI) criteria for the optical characterization of colorectal polyps by endoscopy experts.
    Desai M; Kennedy K; Aihara H; Van Dam J; Gross S; Haber G; Pohl H; Rex D; Saltzman J; Sethi A; Waxman I; Wang K; Wallace M; Repici A; Sharma P
    J Gastroenterol Hepatol; 2021 Oct; 36(10):2728-2734. PubMed ID: 33928679
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial Intelligence Allows Leaving-In-Situ Colorectal Polyps.
    Hassan C; Balsamo G; Lorenzetti R; Zullo A; Antonelli G
    Clin Gastroenterol Hepatol; 2022 Nov; 20(11):2505-2513.e4. PubMed ID: 35835342
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Performance of Computer-Aided Detection and Diagnosis of Colorectal Polyps Compares to That of Experienced Endoscopists.
    Sakamoto T; Nakashima H; Nakamura K; Nagahama R; Saito Y
    Dig Dis Sci; 2022 Aug; 67(8):3976-3983. PubMed ID: 34403031
    [TBL] [Abstract][Full Text] [Related]  

  • 15. BASIC (BLI Adenoma Serrated International Classification) classification for colorectal polyp characterization with blue light imaging.
    Bisschops R; Hassan C; Bhandari P; Coron E; Neumann H; Pech O; Correale L; Repici A
    Endoscopy; 2018 Mar; 50(3):211-220. PubMed ID: 29065437
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An analysis about the function of a new artificial intelligence, CAD EYE with the lesion recognition and diagnosis for colorectal polyps in clinical practice.
    Yoshida N; Inoue K; Tomita Y; Kobayashi R; Hashimoto H; Sugino S; Hirose R; Dohi O; Yasuda H; Morinaga Y; Inada Y; Murakami T; Zhu X; Itoh Y
    Int J Colorectal Dis; 2021 Oct; 36(10):2237-2245. PubMed ID: 34406437
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Performance of artificial intelligence in the characterization of colorectal lesions.
    Dos Santos CEO; Malaman D; Sanmartin IDA; Leão ABS; Leão GS; Pereira-Lima JC
    Saudi J Gastroenterol; 2023; 29(4):219-224. PubMed ID: 37203122
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Computer-aided diagnosis for characterization of colorectal lesions: comprehensive software that includes differentiation of serrated lesions.
    Zorron Cheng Tao Pu L; Maicas G; Tian Y; Yamamura T; Nakamura M; Suzuki H; Singh G; Rana K; Hirooka Y; Burt AD; Fujishiro M; Carneiro G; Singh R
    Gastrointest Endosc; 2020 Oct; 92(4):891-899. PubMed ID: 32145289
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis.
    Chen PJ; Lin MC; Lai MJ; Lin JC; Lu HH; Tseng VS
    Gastroenterology; 2018 Feb; 154(3):568-575. PubMed ID: 29042219
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Narrow-band imaging vs. high definition white light for optical diagnosis of small colorectal polyps: a randomized multicenter trial.
    Klare P; Haller B; Wormbt S; Nötzel E; Hartmann D; Albert J; Hausmann J; Einwächter H; Weber A; Abdelhafez M; Schmid RM; von Delius S
    Endoscopy; 2016 Oct; 48(10):909-15. PubMed ID: 27448051
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.