BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

132 related articles for article (PubMed ID: 38588884)

  • 1. Lung Cancer Diagnosis on Virtual Histologically Stained Tissue Using Weakly Supervised Learning.
    Chen Z; Wong IHM; Dai W; Lo CTK; Wong TTW
    Mod Pathol; 2024 Apr; 37(6):100487. PubMed ID: 38588884
    [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. Tailoring pretext tasks to improve self-supervised learning in histopathologic subtype classification of lung adenocarcinomas.
    Ding R; Yadav A; Rodriguez E; Araujo Lemos da Silva AC; Hsu W
    Comput Biol Med; 2023 Nov; 166():107484. PubMed ID: 37741228
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Deep learning radiopathomics based on preoperative US images and biopsy whole slide images can distinguish between luminal and non-luminal tumors in early-stage breast cancers.
    Huang Y; Yao Z; Li L; Mao R; Huang W; Hu Z; Hu Y; Wang Y; Guo R; Tang X; Yang L; Wang Y; Luo R; Yu J; Zhou J
    EBioMedicine; 2023 Aug; 94():104706. PubMed ID: 37478528
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Surrogate Biomarker Prediction from Whole-Slide Images for Evaluating Overall Survival in Lung Adenocarcinoma.
    Murchan P; Baird AM; Ó Broin P; Sheils O; Finn SP
    Diagnostics (Basel); 2024 Feb; 14(5):. PubMed ID: 38472935
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. 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]  

  • 11. Masked hypergraph learning for weakly supervised histopathology whole slide image classification.
    Shi J; Shu T; Wu K; Jiang Z; Zheng L; Wang W; Wu H; Zheng Y
    Comput Methods Programs Biomed; 2024 Aug; 253():108237. PubMed ID: 38820715
    [TBL] [Abstract][Full Text] [Related]  

  • 12. DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer.
    Schirris Y; Gavves E; Nederlof I; Horlings HM; Teuwen J
    Med Image Anal; 2022 Jul; 79():102464. PubMed ID: 35596966
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Iterative multiple instance learning for weakly annotated whole slide image classification.
    Zhou Y; Che S; Lu F; Liu S; Yan Z; Wei J; Li Y; Ding X; Lu Y
    Phys Med Biol; 2023 Jul; 68(15):. PubMed ID: 37311470
    [No Abstract]   [Full Text] [Related]  

  • 14. Predicting oncogene mutations of lung cancer using deep learning and histopathologic features on whole-slide images.
    Tomita N; Tafe LJ; Suriawinata AA; Tsongalis GJ; Nasir-Moin M; Dragnev K; Hassanpour S
    Transl Oncol; 2022 Oct; 24():101494. PubMed ID: 35905641
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Virtual histological staining of label-free total absorption photoacoustic remote sensing (TA-PARS).
    Boktor M; Ecclestone BR; Pekar V; Dinakaran D; Mackey JR; Fieguth P; Haji Reza P
    Sci Rep; 2022 Jun; 12(1):10296. PubMed ID: 35717539
    [TBL] [Abstract][Full Text] [Related]  

  • 17. New vision of HookEfficientNet deep neural network: Intelligent histopathological recognition system of non-small cell lung cancer.
    Yuan H; Kido T; Hirata M; Ueno K; Imai Y; Chen K; Ren W; Yang L; Chen K; Qu L; Wu Y
    Comput Biol Med; 2024 Jun; 178():108710. PubMed ID: 38843570
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning.
    Jang HJ; Lee A; Kang J; Song IH; Lee SH
    World J Gastroenterol; 2020 Oct; 26(40):6207-6223. PubMed ID: 33177794
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Label-Free Virtual HER2 Immunohistochemical Staining of Breast Tissue using Deep Learning.
    Bai B; Wang H; Li Y; de Haan K; Colonnese F; Wan Y; Zuo J; Doan NB; Zhang X; Zhang Y; Li J; Yang X; Dong W; Darrow MA; Kamangar E; Lee HS; Rivenson Y; Ozcan A
    BME Front; 2022; 2022():9786242. PubMed ID: 37850170
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images.
    Asaf MZ; Rao B; Akram MU; Khawaja SG; Khan S; Truong TM; Sekhon P; Khan IJ; Abbasi MS
    Sci Rep; 2024 Jan; 14(1):2335. PubMed ID: 38282056
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.