BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

177 related articles for article (PubMed ID: 37200281)

  • 1. Accurate deep learning model using semi-supervised learning and Noisy Student for cervical cancer screening in low magnification images.
    Kurita Y; Meguro S; Tsuyama N; Kosugi I; Enomoto Y; Kawasaki H; Uemura T; Kimura M; Iwashita T
    PLoS One; 2023; 18(5):e0285996. PubMed ID: 37200281
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning based cervical screening by the cross-modal integration of colposcopy, cytology, and HPV test.
    Fu L; Xia W; Shi W; Cao GX; Ruan YT; Zhao XY; Liu M; Niu SM; Li F; Gao X
    Int J Med Inform; 2022 Mar; 159():104675. PubMed ID: 34979436
    [TBL] [Abstract][Full Text] [Related]  

  • 3. [Health technology assessment report: Computer-assisted Pap test for cervical cancer screening].
    Della Palma P; Moresco L; Giorgi Rossi P
    Epidemiol Prev; 2012; 36(5 Suppl 3):e1-43. PubMed ID: 23139174
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Semi-supervised training of deep convolutional neural networks with heterogeneous data and few local annotations: An experiment on prostate histopathology image classification.
    Marini N; Otálora S; Müller H; Atzori M
    Med Image Anal; 2021 Oct; 73():102165. PubMed ID: 34303169
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Resolution-based distillation for efficient histology image classification.
    DiPalma J; Suriawinata AA; Tafe LJ; Torresani L; Hassanpour S
    Artif Intell Med; 2021 Sep; 119():102136. PubMed ID: 34531005
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
    Wang X; Tang F; Chen H; Cheung CY; Heng PA
    Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Point-of-Care Digital Cytology With Artificial Intelligence for Cervical Cancer Screening in a Resource-Limited Setting.
    Holmström O; Linder N; Kaingu H; Mbuuko N; Mbete J; Kinyua F; Törnquist S; Muinde M; Krogerus L; Lundin M; Diwan V; Lundin J
    JAMA Netw Open; 2021 Mar; 4(3):e211740. PubMed ID: 33729503
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.
    Hu L; Bell D; Antani S; Xue Z; Yu K; Horning MP; Gachuhi N; Wilson B; Jaiswal MS; Befano B; Long LR; Herrero R; Einstein MH; Burk RD; Demarco M; Gage JC; Rodriguez AC; Wentzensen N; Schiffman M
    J Natl Cancer Inst; 2019 Sep; 111(9):923-932. PubMed ID: 30629194
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Artificial intelligence-assisted cytology for detection of cervical intraepithelial neoplasia or invasive cancer: A multicenter, clinical-based, observational study.
    Bao H; Bi H; Zhang X; Zhao Y; Dong Y; Luo X; Zhou D; You Z; Wu Y; Liu Z; Zhang Y; Liu J; Fang L; Wang L
    Gynecol Oncol; 2020 Oct; 159(1):171-178. PubMed ID: 32814641
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Self-supervised learning-based cervical cytology for the triage of HPV-positive women in resource-limited settings and low-data regime.
    Stegmüller T; Abbet C; Bozorgtabar B; Clarke H; Petignat P; Vassilakos P; Thiran JP
    Comput Biol Med; 2024 Feb; 169():107809. PubMed ID: 38113684
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Efficient Combination of CNN and Transformer for Dual-Teacher Uncertainty-guided Semi-supervised Medical Image Segmentation.
    Xiao Z; Su Y; Deng Z; Zhang W
    Comput Methods Programs Biomed; 2022 Nov; 226():107099. PubMed ID: 36116398
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep multiple-instance learning for abnormal cell detection in cervical histopathology images.
    Pal A; Xue Z; Desai K; Aina F Banjo A; Adepiti CA; Long LR; Schiffman M; Antani S
    Comput Biol Med; 2021 Nov; 138():104890. PubMed ID: 34601391
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A semi-supervised learning framework for micropapillary adenocarcinoma detection.
    Gao Y; Ding Y; Xiao W; Yao Z; Zhou X; Sui X; Zhao Y; Zheng Y
    Int J Comput Assist Radiol Surg; 2022 Apr; 17(4):639-648. PubMed ID: 35149953
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
    Chaitanya K; Erdil E; Karani N; Konukoglu E
    Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing Deep Learning Models for Multi-cell Classification in Liquid- based Cervical Cytology Image.
    Sornapudi S; Brown GT; Xue Z; Long R; Allen L; Antani S
    AMIA Annu Symp Proc; 2019; 2019():820-827. PubMed ID: 32308878
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer.
    Lin YC; Lin CH; Lu HY; Chiang HJ; Wang HK; Huang YT; Ng SH; Hong JH; Yen TC; Lai CH; Lin G
    Eur Radiol; 2020 Mar; 30(3):1297-1305. PubMed ID: 31712961
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A screening assistance system for cervical cytology of squamous cell atypia based on a two-step combined CNN algorithm with label smoothing.
    Nambu Y; Mariya T; Shinkai S; Umemoto M; Asanuma H; Sato I; Hirohashi Y; Torigoe T; Fujino Y; Saito T
    Cancer Med; 2022 Jan; 11(2):520-529. PubMed ID: 34841722
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Improving Skin Lesion Segmentation with Self-Training.
    Dzieniszewska A; Garbat P; Piramidowicz R
    Cancers (Basel); 2024 Mar; 16(6):. PubMed ID: 38539454
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantitative analysis of abnormalities in gynecologic cytopathology with deep learning.
    Ke J; Shen Y; Lu Y; Deng J; Wright JD; Zhang Y; Huang Q; Wang D; Jing N; Liang X; Jiang F
    Lab Invest; 2021 Apr; 101(4):513-524. PubMed ID: 33526806
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Artificial intelligence-assisted fast screening cervical high grade squamous intraepithelial lesion and squamous cell carcinoma diagnosis and treatment planning.
    Wang CW; Liou YA; Lin YJ; Chang CC; Chu PH; Lee YC; Wang CH; Chao TK
    Sci Rep; 2021 Aug; 11(1):16244. PubMed ID: 34376717
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.