BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 36506384)

  • 1. A novel transfer-learning based physician-level general and subtype classifier for non-small cell lung cancer.
    Qiao B; Jumai K; Ainiwaer J; Niyaz M; Zhang Y; Ma Y; Zhang L; Luh W; Sheyhidin I
    Heliyon; 2022 Dec; 8(12):e11981. PubMed ID: 36506384
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis.
    Wang X; Chen H; Gan C; Lin H; Dou Q; Tsougenis E; Huang Q; Cai M; Heng PA
    IEEE Trans Cybern; 2020 Sep; 50(9):3950-3962. PubMed ID: 31484154
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-task learning-based histologic subtype classification of non-small cell lung cancer.
    Chen K; Wang M; Song Z
    Radiol Med; 2023 May; 128(5):537-543. PubMed ID: 36976403
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Performance comparison between multi-center histopathology datasets of a weakly-supervised deep learning model for pancreatic ductal adenocarcinoma detection.
    Carrillo-Perez F; Ortuno FM; Börjesson A; Rojas I; Herrera LJ
    Cancer Imaging; 2023 Jun; 23(1):66. PubMed ID: 37365659
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images.
    Sadhwani A; Chang HW; Behrooz A; Brown T; Auvigne-Flament I; Patel H; Findlater R; Velez V; Tan F; Tekiela K; Wulczyn E; Yi ES; Mermel CH; Hanks D; Chen PC; Kulig K; Batenchuk C; Steiner DF; Cimermancic P
    Sci Rep; 2021 Aug; 11(1):16605. PubMed ID: 34400666
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Lung cancer subtype classification using histopathological images based on weakly supervised multi-instance learning.
    Zhao L; Xu X; Hou R; Zhao W; Zhong H; Teng H; Han Y; Fu X; Sun J; Zhao J
    Phys Med Biol; 2021 Dec; 66(23):. PubMed ID: 34794136
    [No Abstract]   [Full Text] [Related]  

  • 7. 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]  

  • 8. Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study.
    Yang H; Chen L; Cheng Z; Yang M; Wang J; Lin C; Wang Y; Huang L; Chen Y; Peng S; Ke Z; Li W
    BMC Med; 2021 Mar; 19(1):80. PubMed ID: 33775248
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Graph-Transformer for Whole Slide Image Classification.
    Zheng Y; Gindra RH; Green EJ; Burks EJ; Betke M; Beane JE; Kolachalama VB
    IEEE Trans Med Imaging; 2022 Nov; 41(11):3003-3015. PubMed ID: 35594209
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Pixel-Level Classification of Five Histologic Patterns of Lung Adenocarcinoma.
    Shao D; Su F; Zou X; Lu J; Wu S; Tian R; Ran D; Guo Z; Jin D
    Anal Chem; 2023 Feb; 95(5):2664-2670. PubMed ID: 36701546
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Pathologist Concordance for Ovarian Carcinoma Subtype Classification and Identification of Relevant Histologic Features Using Microscope and Whole Slide Imaging.
    Gavrielides MA; Ronnett BM; Vang R; Barak S; Lee E; Staats PN; Jenson E; Skaria P; Sheikhzadeh F; Miller M; Hagemann IS; Petrick N; Seidman JD
    Arch Pathol Lab Med; 2021 Dec; 145(12):1516-1525. PubMed ID: 33635941
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Lung adenocarcinoma: modification of the 2004 WHO mixed subtype to include the major histologic subtype suggests correlations between papillary and micropapillary adenocarcinoma subtypes, EGFR mutations and gene expression analysis.
    Motoi N; Szoke J; Riely GJ; Seshan VE; Kris MG; Rusch VW; Gerald WL; Travis WD
    Am J Surg Pathol; 2008 Jun; 32(6):810-27. PubMed ID: 18391747
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks.
    Wei JW; Tafe LJ; Linnik YA; Vaickus LJ; Tomita N; Hassanpour S
    Sci Rep; 2019 Mar; 9(1):3358. PubMed ID: 30833650
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The Swin-Transformer network based on focal loss is used to identify images of pathological subtypes of lung adenocarcinoma with high similarity and class imbalance.
    Wang Y; Luo F; Yang X; Wang Q; Sun Y; Tian S; Feng P; Huang P; Xiao H
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):8581-8592. PubMed ID: 37097394
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis.
    Kosaraju SC; Hao J; Koh HM; Kang M
    Methods; 2020 Jul; 179():3-13. PubMed ID: 32442672
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Transformaer-based model for lung adenocarcinoma subtypes.
    Du F; Zhou H; Niu Y; Han Z; Sui X
    Med Phys; 2024 Mar; ():. PubMed ID: 38427790
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study.
    Despotovic V; Kim SY; Hau AC; Kakoichankava A; Klamminger GG; Borgmann FBK; Frauenknecht KBM; Mittelbronn M; Nazarov PV
    Heliyon; 2024 Mar; 10(5):e27515. PubMed ID: 38562501
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Histologic subtype classification of non-small cell lung cancer using PET/CT images.
    Han Y; Ma Y; Wu Z; Zhang F; Zheng D; Liu X; Tao L; Liang Z; Yang Z; Li X; Huang J; Guo X
    Eur J Nucl Med Mol Imaging; 2021 Feb; 48(2):350-360. PubMed ID: 32776232
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort study.
    Ding K; Zhou M; Wang H; Zhang S; Metaxas DN
    Lancet Digit Health; 2022 Nov; 4(11):e787-e795. PubMed ID: 36307192
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.