These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 37284119)

  • 1. Whole slide imaging-based deep learning to predict the treatment response of patients with non-small cell lung cancer.
    Pan Y; Sheng W; Shi L; Jing D; Jiang W; Chen JC; Wang H; Qiu J
    Quant Imaging Med Surg; 2023 Jun; 13(6):3547-3555. PubMed ID: 37284119
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Contribution of whole slide imaging-based deep learning in the assessment of intraoperative and postoperative sections in neuropathology.
    Shi L; Shen L; Jian J; Xia W; Yang KD; Tian Y; Huang J; Yuan B; Shen L; Liu Z; Zhang J; Zhang R; Wu K; Jing D; Gao X
    Brain Pathol; 2023 Jul; 33(4):e13160. PubMed ID: 37186490
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Prediction of BRCA Gene Mutation in Breast Cancer Based on Deep Learning and Histopathology Images.
    Wang X; Zou C; Zhang Y; Li X; Wang C; Ke F; Chen J; Wang W; Wang D; Xu X; Xie L; Zhang Y
    Front Genet; 2021; 12():661109. PubMed ID: 34354733
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deep learning with whole slide images can improve the prognostic risk stratification with stage III colorectal cancer.
    Sun C; Li B; Wei G; Qiu W; Li D; Li X; Liu X; Wei W; Wang S; Liu Z; Tian J; Liang L
    Comput Methods Programs Biomed; 2022 Jun; 221():106914. PubMed ID: 35640390
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Interpretable deep learning model to predict the molecular classification of endometrial cancer from haematoxylin and eosin-stained whole-slide images: a combined analysis of the PORTEC randomised trials and clinical cohorts.
    Fremond S; Andani S; Barkey Wolf J; Dijkstra J; Melsbach S; Jobsen JJ; Brinkhuis M; Roothaan S; Jurgenliemk-Schulz I; Lutgens LCHW; Nout RA; van der Steen-Banasik EM; de Boer SM; Powell ME; Singh N; Mileshkin LR; Mackay HJ; Leary A; Nijman HW; Smit VTHBM; Creutzberg CL; Horeweg N; Koelzer VH; Bosse T
    Lancet Digit Health; 2023 Feb; 5(2):e71-e82. PubMed ID: 36496303
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A High-Resolution Tile-Based Approach for Classifying Biological Regions in Whole-Slide Histopathological Images.
    Hoffman RA; Kothari S; Phan JH; Wang MD
    IFMBE Proc; 2014; 42():280-283. PubMed ID: 27532012
    [TBL] [Abstract][Full Text] [Related]  

  • 8. SAMPLER: Empirical distribution representations for rapid analysis of whole slide tissue images.
    Mukashyaka P; Sheridan TB; Foroughi Pour A; Chuang JH
    bioRxiv; 2023 Aug; ():. PubMed ID: 37577691
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
    Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
    Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study.
    Li B; Li F; Liu Z; Xu F; Ye G; Li W; Zhang Y; Zhu T; Shao L; Chen C; Sun C; Qiu B; Bu H; Wang K; Tian J
    Breast; 2022 Dec; 66():183-190. PubMed ID: 36308926
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and Validation of a Machine Learning Model to Explore Tyrosine Kinase Inhibitor Response in Patients With Stage IV EGFR Variant-Positive Non-Small Cell Lung Cancer.
    Song J; Wang L; Ng NN; Zhao M; Shi J; Wu N; Li W; Liu Z; Yeom KW; Tian J
    JAMA Netw Open; 2020 Dec; 3(12):e2030442. PubMed ID: 33331920
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial Intelligence Meets Whole Slide Images: Deep Learning Model Shapes an Immune-Hot Tumor and Guides Precision Therapy in Bladder Cancer.
    Jiang Y; Huang S; Zhu X; Cheng L; Liu W; Chen Q; Yang D
    J Oncol; 2022; 2022():8213321. PubMed ID: 36245985
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Prediction of molecular subclasses of uveal melanoma by deep learning using routine haematoxylin-eosin-stained tissue slides.
    Akram F; de Bruyn DP; van den Bosch QCC; Trandafir TE; van den Bosch TPP; Verdijk RM; de Klein A; Kiliç E; Stubbs AP; Brosens E; von der Thüsen JH
    Histopathology; 2024 Jul; ():. PubMed ID: 38952117
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning classification of uveal melanoma based on histopathological images and identification of a novel indicator for prognosis of patients.
    Wan Q; Ren X; Wei R; Yue S; Wang L; Yin H; Tang J; Zhang M; Ma K; Deng YP
    Biol Proced Online; 2023 Jun; 25(1):15. PubMed ID: 37268878
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Tumor-infiltrating lymphocyte enrichment predicted by CT radiomics analysis is associated with clinical outcomes of non-small cell lung cancer patients receiving immune checkpoint inhibitors.
    Park C; Jeong DY; Choi Y; Oh YJ; Kim J; Ryu J; Paeng K; Lee SH; Ock CY; Lee HY
    Front Immunol; 2022; 13():1038089. PubMed ID: 36660547
    [TBL] [Abstract][Full Text] [Related]  

  • 17. PET/CT Based EGFR Mutation Status Classification of NSCLC Using Deep Learning Features and Radiomics Features.
    Huang W; Wang J; Wang H; Zhang Y; Zhao F; Li K; Su L; Kang F; Cao X
    Front Pharmacol; 2022; 13():898529. PubMed ID: 35571081
    [No Abstract]   [Full Text] [Related]  

  • 18. A deep learning model for lymph node metastasis prediction based on digital histopathological images of primary endometrial cancer.
    Feng M; Zhao Y; Chen J; Zhao T; Mei J; Fan Y; Lin Z; Yao J; Bu H
    Quant Imaging Med Surg; 2023 Mar; 13(3):1899-1913. PubMed ID: 36915334
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning predicts patients outcome and mutations from digitized histology slides in gastrointestinal stromal tumor.
    Fu Y; Karanian M; Perret R; Camara A; Le Loarer F; Jean-Denis M; Hostein I; Michot A; Ducimetiere F; Giraud A; Courreges JB; Courtet K; Laizet Y; Bendjebbar E; Du Terrail JO; Schmauch B; Maussion C; Blay JY; Italiano A; Coindre JM
    NPJ Precis Oncol; 2023 Jul; 7(1):71. PubMed ID: 37488222
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study.
    She Y; He B; Wang F; Zhong Y; Wang T; Liu Z; Yang M; Yu B; Deng J; Sun X; Wu C; Hou L; Zhu Y; Yang Y; Hu H; Dong D; Chen C; Tian J
    EBioMedicine; 2022 Dec; 86():104364. PubMed ID: 36395737
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.