BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 37672979)

  • 1. Self-supervised deep learning for highly efficient spatial immunophenotyping.
    Zhang H; AbdulJabbar K; Grunewald T; Akarca AU; Hagos Y; Sobhani F; Lecat CSY; Patel D; Lee L; Rodriguez-Justo M; Yong K; Ledermann JA; Le Quesne J; Hwang ES; Marafioti T; Yuan Y
    EBioMedicine; 2023 Sep; 95():104769. PubMed ID: 37672979
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning-based image analysis methods for brightfield-acquired multiplex immunohistochemistry images.
    Fassler DJ; Abousamra S; Gupta R; Chen C; Zhao M; Paredes D; Batool SA; Knudsen BS; Escobar-Hoyos L; Shroyer KR; Samaras D; Kurc T; Saltz J
    Diagn Pathol; 2020 Jul; 15(1):100. PubMed ID: 32723384
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. 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]  

  • 6. 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]  

  • 7. Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
    Otálora S; Marini N; Müller H; Atzori M
    BMC Med Imaging; 2021 May; 21(1):77. PubMed ID: 33964886
    [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. NaroNet: Discovery of tumor microenvironment elements from highly multiplexed images.
    Jiménez-Sánchez D; Ariz M; Chang H; Matias-Guiu X; de Andrea CE; Ortiz-de-Solórzano C
    Med Image Anal; 2022 May; 78():102384. PubMed ID: 35217454
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MaskMitosis: a deep learning framework for fully supervised, weakly supervised, and unsupervised mitosis detection in histopathology images.
    Sebai M; Wang X; Wang T
    Med Biol Eng Comput; 2020 Jul; 58(7):1603-1623. PubMed ID: 32445109
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. A real use case of semi-supervised learning for mammogram classification in a local clinic of Costa Rica.
    Calderon-Ramirez S; Murillo-Hernandez D; Rojas-Salazar K; Elizondo D; Yang S; Moemeni A; Molina-Cabello M
    Med Biol Eng Comput; 2022 Apr; 60(4):1159-1175. PubMed ID: 35239108
    [TBL] [Abstract][Full Text] [Related]  

  • 13. RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.
    Philbrick KA; Weston AD; Akkus Z; Kline TL; Korfiatis P; Sakinis T; Kostandy P; Boonrod A; Zeinoddini A; Takahashi N; Erickson BJ
    J Digit Imaging; 2019 Aug; 32(4):571-581. PubMed ID: 31089974
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep semi-supervised multiple instance learning with self-correction for DME classification from OCT images.
    Wang X; Tang F; Chen H; Cheung CY; Heng PA
    Med Image Anal; 2023 Jan; 83():102673. PubMed ID: 36403310
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Self-Supervised Learning Methods for Label-Efficient Dental Caries Classification.
    Taleb A; Rohrer C; Bergner B; De Leon G; Rodrigues JA; Schwendicke F; Lippert C; Krois J
    Diagnostics (Basel); 2022 May; 12(5):. PubMed ID: 35626392
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.
    Pang S; Yu Z; Orgun MA
    Comput Methods Programs Biomed; 2017 Mar; 140():283-293. PubMed ID: 28254085
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
    P B S; Faruqi F; K S H; Kudva R
    Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
    [TBL] [Abstract][Full Text] [Related]  

  • 19. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
    Segebarth D; Griebel M; Stein N; von Collenberg CR; Martin C; Fiedler D; Comeras LB; Sah A; Schoeffler V; Lüffe T; Dürr A; Gupta R; Sasi M; Lillesaar C; Lange MD; Tasan RO; Singewald N; Pape HC; Flath CM; Blum R
    Elife; 2020 Oct; 9():. PubMed ID: 33074102
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An EM-based semi-supervised deep learning approach for semantic segmentation of histopathological images from radical prostatectomies.
    Li J; Speier W; Ho KC; Sarma KV; Gertych A; Knudsen BS; Arnold CW
    Comput Med Imaging Graph; 2018 Nov; 69():125-133. PubMed ID: 30243216
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.