BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 35104234)

  • 1. AFP-Mask: Anchor-Free Polyp Instance Segmentation in Colonoscopy.
    Wang D; Chen S; Sun X; Chen Q; Cao Y; Liu B; Liu X
    IEEE J Biomed Health Inform; 2022 Jul; 26(7):2995-3006. PubMed ID: 35104234
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Positive-gradient-weighted object activation mapping: visual explanation of object detector towards precise colorectal-polyp localisation.
    Itoh H; Misawa M; Mori Y; Kudo SE; Oda M; Mori K
    Int J Comput Assist Radiol Surg; 2022 Nov; 17(11):2051-2063. PubMed ID: 35939251
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Polyp Segmentation in Colonoscopy Images Using Fully Convolutional Network.
    Akbari M; Mohrekesh M; Nasr-Esfahani E; Soroushmehr SMR; Karimi N; Samavi S; Najarian K
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():69-72. PubMed ID: 30440343
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction.
    Qadir HA; Shin Y; Solhusvik J; Bergsland J; Aabakken L; Balasingham I
    Med Image Anal; 2021 Feb; 68():101897. PubMed ID: 33260111
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An end-to-end tracking method for polyp detectors in colonoscopy videos.
    Yu T; Lin N; Zhang X; Pan Y; Hu H; Zheng W; Liu J; Hu W; Duan H; Si J
    Artif Intell Med; 2022 Sep; 131():102363. PubMed ID: 36100343
    [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. Detection and Classification of Colorectal Polyp Using Deep Learning.
    Tanwar S; Vijayalakshmi S; Sabharwal M; Kaur M; AlZubi AA; Lee HN
    Biomed Res Int; 2022; 2022():2805607. PubMed ID: 35463989
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Colonoscopy polyp detection and classification: Dataset creation and comparative evaluations.
    Li K; Fathan MI; Patel K; Zhang T; Zhong C; Bansal A; Rastogi A; Wang JS; Wang G
    PLoS One; 2021; 16(8):e0255809. PubMed ID: 34403452
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Weakly Supervised Polyp Segmentation in Colonoscopy Images Using Deep Neural Networks.
    Chen S; Urban G; Baldi P
    J Imaging; 2022 Apr; 8(5):. PubMed ID: 35621885
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Application of Deep Learning for Early Screening of Colorectal Precancerous Lesions under White Light Endoscopy.
    Gao J; Guo Y; Sun Y; Qu G
    Comput Math Methods Med; 2020; 2020():8374317. PubMed ID: 32952602
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep Neural Network based Polyp Segmentation in Colonoscopy Images using a Combination of Color Spaces.
    Bagheri M; Mohrekesh M; Tehrani M; Najarian K; Karimi N; Samavi S; Reza Soroushmehr SM
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():6742-6745. PubMed ID: 31947388
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.
    Wickstrøm K; Kampffmeyer M; Jenssen R
    Med Image Anal; 2020 Feb; 60():101619. PubMed ID: 31810005
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets.
    Pacal I; Karaman A; Karaboga D; Akay B; Basturk A; Nalbantoglu U; Coskun S
    Comput Biol Med; 2022 Feb; 141():105031. PubMed ID: 34802713
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Challenges Facing the Detection of Colonic Polyps: What Can Deep Learning Do?
    Azer SA
    Medicina (Kaunas); 2019 Aug; 55(8):. PubMed ID: 31409050
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning to find colorectal polyps in colonoscopy: A systematic literature review.
    Sánchez-Peralta LF; Bote-Curiel L; Picón A; Sánchez-Margallo FM; Pagador JB
    Artif Intell Med; 2020 Aug; 108():101923. PubMed ID: 32972656
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video.
    Qadir HA; Balasingham I; Solhusvik J; Bergsland J; Aabakken L; Shin Y
    IEEE J Biomed Health Inform; 2020 Jan; 24(1):180-193. PubMed ID: 30946683
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Automatized colon polyp segmentation via contour region analysis.
    Sánchez-González A; García-Zapirain B; Sierra-Sosa D; Elmaghraby A
    Comput Biol Med; 2018 Sep; 100():152-164. PubMed ID: 30015012
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Colorectal polyp region extraction using saliency detection network with neutrosophic enhancement.
    Hu K; Zhao L; Feng S; Zhang S; Zhou Q; Gao X; Guo Y
    Comput Biol Med; 2022 Aug; 147():105760. PubMed ID: 35803078
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SR-AttNet: An Interpretable Stretch-Relax Attention based Deep Neural Network for Polyp Segmentation in Colonoscopy Images.
    Alam MJ; Fattah SA
    Comput Biol Med; 2023 Jun; 160():106945. PubMed ID: 37163966
    [TBL] [Abstract][Full Text] [Related]  

  • 20. PolyEffNetV1: A CNN based colorectal polyp detection in colonoscopy images.
    Sadagopan R; Ravi S; Adithya SV; Vivekanandhan S
    Proc Inst Mech Eng H; 2023 Mar; 237(3):406-418. PubMed ID: 36683465
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.