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 *

141 related articles for article (PubMed ID: 35177797)

  • 1. Interpretable tumor differentiation grade and microsatellite instability recognition in gastric cancer using deep learning.
    Su F; Li J; Zhao X; Wang B; Hu Y; Sun Y; Ji J
    Lab Invest; 2022 Jun; 102(6):641-649. PubMed ID: 35177797
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning model for the prediction of microsatellite instability in colorectal cancer: a diagnostic study.
    Yamashita R; Long J; Longacre T; Peng L; Berry G; Martin B; Higgins J; Rubin DL; Shen J
    Lancet Oncol; 2021 Jan; 22(1):132-141. PubMed ID: 33387492
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning-based methods for classification of microsatellite instability in endometrial cancer from HE-stained pathological images.
    Zhang Y; Chen S; Wang Y; Li J; Xu K; Chen J; Zhao J
    J Cancer Res Clin Oncol; 2023 Sep; 149(11):8877-8888. PubMed ID: 37150803
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images.
    Fragoso-Garcia M; Wilm F; Bertram CA; Merz S; Schmidt A; Donovan T; Fuchs-Baumgartinger A; Bartel A; Marzahl C; Diehl L; Puget C; Maier A; Aubreville M; Breininger K; Klopfleisch R
    Vet Pathol; 2023 Nov; 60(6):865-875. PubMed ID: 37515411
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.
    Song JH; Hong Y; Kim ER; Kim SH; Sohn I
    J Gastroenterol; 2022 Sep; 57(9):654-666. PubMed ID: 35802259
    [TBL] [Abstract][Full Text] [Related]  

  • 6. PPsNet: An improved deep learning model for microsatellite instability high prediction in colorectal cancer from whole slide images.
    Lou J; Xu J; Zhang Y; Sun Y; Fang A; Liu J; Mur LAJ; Ji B
    Comput Methods Programs Biomed; 2022 Oct; 225():107095. PubMed ID: 36057226
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues.
    Gallego J; Swiderska-Chadaj Z; Markiewicz T; Yamashita M; Gabaldon MA; Gertych A
    Comput Med Imaging Graph; 2021 Apr; 89():101865. PubMed ID: 33548823
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Piloting a Deep Learning Model for Predicting Nuclear BAP1 Immunohistochemical Expression of Uveal Melanoma from Hematoxylin-and-Eosin Sections.
    Zhang H; Kalirai H; Acha-Sagredo A; Yang X; Zheng Y; Coupland SE
    Transl Vis Sci Technol; 2020 Sep; 9(2):50. PubMed ID: 32953248
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning captures selective features for discrimination of microsatellite instability from pathologic tissue slides of gastric cancer.
    Lee SH; Lee Y; Jang HJ
    Int J Cancer; 2023 Jan; 152(2):298-307. PubMed ID: 36054320
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Frequent microsatellite instability in papillary and solid-type, poorly differentiated adenocarcinomas of the stomach.
    Arai T; Sakurai U; Sawabe M; Honma N; Aida J; Ushio Y; Kanazawa N; Kuroiwa K; Takubo K
    Gastric Cancer; 2013 Oct; 16(4):505-12. PubMed ID: 23274922
    [TBL] [Abstract][Full Text] [Related]  

  • 11. One label is all you need: Interpretable AI-enhanced histopathology for oncology.
    Tavolara TE; Su Z; Gurcan MN; Niazi MKK
    Semin Cancer Biol; 2023 Dec; 97():70-85. PubMed ID: 37832751
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computational Analysis of Pathological Image Enables Interpretable Prediction for Microsatellite Instability.
    Zhu J; Wu W; Zhang Y; Lin S; Jiang Y; Liu R; Zhang H; Wang X
    Front Oncol; 2022; 12():825353. PubMed ID: 35936712
    [TBL] [Abstract][Full Text] [Related]  

  • 13. DEMoS: a deep learning-based ensemble approach for predicting the molecular subtypes of gastric adenocarcinomas from histopathological images.
    Wang Y; Hu C; Kwok T; Bain CA; Xue X; Gasser RB; Webb GI; Boussioutas A; Shen X; Daly RJ; Song J
    Bioinformatics; 2022 Sep; 38(17):4206-4213. PubMed ID: 35801909
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fast cross-staining alignment of gigapixel whole slide images with application to prostate cancer and breast cancer analysis.
    Wang CW; Lee YC; Khalil MA; Lin KY; Yu CP; Lien HC
    Sci Rep; 2022 Jul; 12(1):11623. PubMed ID: 35803996
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Multimodal Lung Cancer Subtyping Using Deep Learning Neural Networks on Whole Slide Tissue Images and MALDI MSI.
    Janßen C; Boskamp T; Le'Clerc Arrastia J; Otero Baguer D; Hauberg-Lotte L; Kriegsmann M; Kriegsmann K; Steinbuß G; Casadonte R; Kriegsmann J; Maaß P
    Cancers (Basel); 2022 Dec; 14(24):. PubMed ID: 36551667
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning based on hematoxylin-eosin staining outperforms immunohistochemistry in predicting molecular subtypes of gastric adenocarcinoma.
    Flinner N; Gretser S; Quaas A; Bankov K; Stoll A; Heckmann LE; Mayer RS; Doering C; Demes MC; Buettner R; Rueschoff J; Wild PJ
    J Pathol; 2022 Jun; 257(2):218-226. PubMed ID: 35119111
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.
    Zhang W; Yin H; Huang Z; Zhao J; Zheng H; He D; Li M; Tan W; Tian S; Song B
    Cancer Med; 2021 Jun; 10(12):4164-4173. PubMed ID: 33963688
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MIST: multiple instance learning network based on Swin Transformer for whole slide image classification of colorectal adenomas.
    Cai H; Feng X; Yin R; Zhao Y; Guo L; Fan X; Liao J
    J Pathol; 2023 Feb; 259(2):125-135. PubMed ID: 36318158
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Solid-type poorly differentiated adenocarcinoma of the stomach: clinicopathological and molecular characteristics and histogenesis.
    Arai T; Matsuda Y; Aida J; Takubo K; Ishiwata T
    Gastric Cancer; 2019 Mar; 22(2):314-322. PubMed ID: 30088163
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Use of Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Prostate Core Biopsy Images for Tumor Diagnosis.
    Rana A; Lowe A; Lithgow M; Horback K; Janovitz T; Da Silva A; Tsai H; Shanmugam V; Bayat A; Shah P
    JAMA Netw Open; 2020 May; 3(5):e205111. PubMed ID: 32432709
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.