BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 38862472)

  • 1. Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides.
    Claudio Quiros A; Coudray N; Yeaton A; Yang X; Liu B; Le H; Chiriboga L; Karimkhan A; Narula N; Moore DA; Park CY; Pass H; Moreira AL; Le Quesne J; Tsirigos A; Yuan K
    Nat Commun; 2024 Jun; 15(1):4596. PubMed ID: 38862472
    [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. Self-Supervised Learning Reveals Clinically Relevant Histomorphological Patterns for Therapeutic Strategies in Colon Cancer.
    Liu B; Polack M; Coudray N; Quiros AC; Sakellaropoulos T; Crobach ASLP; van Krieken JHJM; Yuan K; Tollenaar RAEM; Mesker WE; Tsirigos A
    bioRxiv; 2024 Mar; ():. PubMed ID: 38496571
    [TBL] [Abstract][Full Text] [Related]  

  • 4. PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation.
    Wang G; Luo X; Gu R; Yang S; Qu Y; Zhai S; Zhao Q; Li K; Zhang S
    Comput Methods Programs Biomed; 2023 Apr; 231():107398. PubMed ID: 36773591
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automatic diagnosis and grading of Prostate Cancer with weakly supervised learning on whole slide images.
    Xiang J; Wang X; Wang X; Zhang J; Yang S; Yang W; Han X; Liu Y
    Comput Biol Med; 2023 Jan; 152():106340. PubMed ID: 36481762
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images.
    Yellapragada B; Hornauer S; Snyder K; Yu S; Yiu G
    Ophthalmol Retina; 2022 Feb; 6(2):116-129. PubMed ID: 34217854
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Weakly Semi-supervised phenotyping using Electronic Health records.
    Nogues IE; Wen J; Lin Y; Liu M; Tedeschi SK; Geva A; Cai T; Hong C
    J Biomed Inform; 2022 Oct; 134():104175. PubMed ID: 36064111
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology.
    Ghaffari Laleh N; Muti HS; Loeffler CML; Echle A; Saldanha OL; Mahmood F; Lu MY; Trautwein C; Langer R; Dislich B; Buelow RD; Grabsch HI; Brenner H; Chang-Claude J; Alwers E; Brinker TJ; Khader F; Truhn D; Gaisa NT; Boor P; Hoffmeister M; Schulz V; Kather JN
    Med Image Anal; 2022 Jul; 79():102474. PubMed ID: 35588568
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Weakly supervised learning for classification of lung cytological images using attention-based multiple instance learning.
    Teramoto A; Kiriyama Y; Tsukamoto T; Sakurai E; Michiba A; Imaizumi K; Saito K; Fujita H
    Sci Rep; 2021 Oct; 11(1):20317. PubMed ID: 34645863
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development and validation of a weakly supervised deep learning framework to predict the status of molecular pathways and key mutations in colorectal cancer from routine histology images: a retrospective study.
    Bilal M; Raza SEA; Azam A; Graham S; Ilyas M; Cree IA; Snead D; Minhas F; Rajpoot NM
    Lancet Digit Health; 2021 Dec; 3(12):e763-e772. PubMed ID: 34686474
    [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. Expert-level detection of pathologies from unannotated chest X-ray images via self-supervised learning.
    Tiu E; Talius E; Patel P; Langlotz CP; Ng AY; Rajpurkar P
    Nat Biomed Eng; 2022 Dec; 6(12):1399-1406. PubMed ID: 36109605
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training.
    Lin Y; Qu Z; Chen H; Gao Z; Li Y; Xia L; Ma K; Zheng Y; Cheng KT
    Med Image Anal; 2023 Oct; 89():102933. PubMed ID: 37611532
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Accurate recognition of colorectal cancer with semi-supervised deep learning on pathological images.
    Yu G; Sun K; Xu C; Shi XH; Wu C; Xie T; Meng RQ; Meng XH; Wang KS; Xiao HM; Deng HW
    Nat Commun; 2021 Nov; 12(1):6311. PubMed ID: 34728629
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Unsupervised and supervised learning with neural network for human transcriptome analysis and cancer diagnosis.
    Yuan B; Yang D; Rothberg BEG; Chang H; Xu T
    Sci Rep; 2020 Nov; 10(1):19106. PubMed ID: 33154423
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging.
    Wolf D; Payer T; Lisson CS; Lisson CG; Beer M; Götz M; Ropinski T
    Sci Rep; 2023 Nov; 13(1):20260. PubMed ID: 37985685
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Semi Supervised Generative Learning for Automated Tumor Proportion Scoring on NSCLC Tissue Needle Biopsies.
    Kapil A; Meier A; Zuraw A; Steele KE; Rebelatto MC; Schmidt G; Brieu N
    Sci Rep; 2018 Nov; 8(1):17343. PubMed ID: 30478349
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer.
    Rączkowska A; Paśnik I; Kukiełka M; Nicoś M; Budzinska MA; Kucharczyk T; Szumiło J; Krawczyk P; Crosetto N; Szczurek E
    BMC Cancer; 2022 Sep; 22(1):1001. PubMed ID: 36131239
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation.
    Chaitanya K; Erdil E; Karani N; Konukoglu E
    Med Image Anal; 2023 Jul; 87():102792. PubMed ID: 37054649
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.