BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 37186490)

  • 1. 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]  

  • 2. SAMPLER: unsupervised representations for rapid analysis of whole slide tissue images.
    Mukashyaka P; Sheridan TB; Foroughi Pour A; Chuang JH
    EBioMedicine; 2024 Jan; 99():104908. PubMed ID: 38101298
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning-based fully automated diagnosis of melanocytic lesions by using whole slide images.
    Bao Y; Zhang J; Zhao X; Zhou H; Chen Y; Jian J; Shi T; Gao X
    J Dermatolog Treat; 2022 Aug; 33(5):2571-2577. PubMed ID: 35112978
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma.
    Feng M; Deng Y; Yang L; Jing Q; Zhang Z; Xu L; Wei X; Zhou Y; Wu D; Xiang F; Wang Y; Bao J; Bu H
    Diagn Pathol; 2020 May; 15(1):65. PubMed ID: 32471471
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artificial Intelligence-Assisted Classification of Gliomas Using Whole Slide Images.
    Jose L; Liu S; Russo C; Cong C; Song Y; Rodriguez M; Di Ieva A
    Arch Pathol Lab Med; 2023 Aug; 147(8):916-924. PubMed ID: 36445697
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images.
    Wang W; Zhao Y; Teng L; Yan J; Guo Y; Qiu Y; Ji Y; Yu B; Pei D; Duan W; Wang M; Wang L; Duan J; Sun Q; Wang S; Duan H; Sun C; Guo Y; Luo L; Guo Z; Guan F; Wang Z; Xing A; Liu Z; Zhang H; Cui L; Zhang L; Jiang G; Yan D; Liu X; Zheng H; Liang D; Li W; Li ZC; Zhang Z
    Nat Commun; 2023 Oct; 14(1):6359. PubMed ID: 37821431
    [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. Rule-based automatic diagnosis of thyroid nodules from intraoperative frozen sections using deep learning.
    Li Y; Chen P; Li Z; Su H; Yang L; Zhong D
    Artif Intell Med; 2020 Aug; 108():101918. PubMed ID: 32972671
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Improving the accuracy of gastrointestinal neuroendocrine tumor grading with deep learning.
    Govind D; Jen KY; Matsukuma K; Gao G; Olson KA; Gui D; Wilding GE; Border SP; Sarder P
    Sci Rep; 2020 Jul; 10(1):11064. PubMed ID: 32632119
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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]  

  • 15. Deep learning-based fully automated differential diagnosis of eyelid basal cell and sebaceous carcinoma using whole slide images.
    Luo Y; Zhang J; Yang Y; Rao Y; Chen X; Shi T; Xu S; Jia R; Gao X
    Quant Imaging Med Surg; 2022 Aug; 12(8):4166-4175. PubMed ID: 35919066
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparative evaluation of intracranial oligodendroglioma and astrocytoma of similar grades using conventional and T1-weighted DCE-MRI.
    Gupta M; Gupta A; Yadav V; Parvaze SP; Singh A; Saini J; Patir R; Vaishya S; Ahlawat S; Gupta RK
    Neuroradiology; 2021 Aug; 63(8):1227-1239. PubMed ID: 33469693
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Assessment of deep learning assistance for the pathological diagnosis of gastric cancer.
    Ba W; Wang S; Shang M; Zhang Z; Wu H; Yu C; Xing R; Wang W; Wang L; Liu C; Shi H; Song Z
    Mod Pathol; 2022 Sep; 35(9):1262-1268. PubMed ID: 35396459
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning shows the capability of high-level computer-aided diagnosis in malignant lymphoma.
    Miyoshi H; Sato K; Kabeya Y; Yonezawa S; Nakano H; Takeuchi Y; Ozawa I; Higo S; Yanagida E; Yamada K; Kohno K; Furuta T; Muta H; Takeuchi M; Sasaki Y; Yoshimura T; Matsuda K; Muto R; Moritsubo M; Inoue K; Suzuki T; Sekinaga H; Ohshima K
    Lab Invest; 2020 Oct; 100(10):1300-1310. PubMed ID: 32472096
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Weakly Supervised Deep Learning Model and Human-Machine Fusion for Accurate Grading of Renal Cell Carcinoma from Histopathology Slides.
    Zheng Q; Yang R; Xu H; Fan J; Jiao P; Ni X; Yuan J; Wang L; Chen Z; Liu X
    Cancers (Basel); 2023 Jun; 15(12):. PubMed ID: 37370808
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.