BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 38510670)

  • 1. Transfer Learning with Pretrained Convolutional Neural Network for Automated Gleason Grading of Prostate Cancer Tissue Microarrays.
    Gifani P; Shalbaf A
    J Med Signals Sens; 2024; 14():4. PubMed ID: 38510670
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automated detection of COVID-19 using ensemble of transfer learning with deep convolutional neural network based on CT scans.
    Gifani P; Shalbaf A; Vafaeezadeh M
    Int J Comput Assist Radiol Surg; 2021 Jan; 16(1):115-123. PubMed ID: 33191476
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection.
    Silva-Rodríguez J; Colomer A; Sales MA; Molina R; Naranjo V
    Comput Methods Programs Biomed; 2020 Oct; 195():105637. PubMed ID: 32653747
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images-Role of Multiscale Decision Aggregation and Data Augmentation.
    Karimi D; Nir G; Fazli L; Black PC; Goldenberg L; Salcudean SE
    IEEE J Biomed Health Inform; 2020 May; 24(5):1413-1426. PubMed ID: 31567104
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated deep-learning system for Gleason grading of prostate cancer using biopsies: a diagnostic study.
    Bulten W; Pinckaers H; van Boven H; Vink R; de Bel T; van Ginneken B; van der Laak J; Hulsbergen-van de Kaa C; Litjens G
    Lancet Oncol; 2020 Feb; 21(2):233-241. PubMed ID: 31926805
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated Gleason grading of prostate cancer tissue microarrays via deep learning.
    Arvaniti E; Fricker KS; Moret M; Rupp N; Hermanns T; Fankhauser C; Wey N; Wild PJ; Rüschoff JH; Claassen M
    Sci Rep; 2018 Aug; 8(1):12054. PubMed ID: 30104757
    [TBL] [Abstract][Full Text] [Related]  

  • 8. WeGleNet: A weakly-supervised convolutional neural network for the semantic segmentation of Gleason grades in prostate histology images.
    Silva-Rodríguez J; Colomer A; Naranjo V
    Comput Med Imaging Graph; 2021 Mar; 88():101846. PubMed ID: 33485056
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Comparison of Artificial Intelligence Techniques to Evaluate Performance of a Classifier for Automatic Grading of Prostate Cancer From Digitized Histopathologic Images.
    Nir G; Karimi D; Goldenberg SL; Fazli L; Skinnider BF; Tavassoli P; Turbin D; Villamil CF; Wang G; Thompson DJS; Black PC; Salcudean SE
    JAMA Netw Open; 2019 Mar; 2(3):e190442. PubMed ID: 30848813
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Development of a Deep Learning Algorithm for the Histopathologic Diagnosis and Gleason Grading of Prostate Cancer Biopsies: A Pilot Study.
    Kott O; Linsley D; Amin A; Karagounis A; Jeffers C; Golijanin D; Serre T; Gershman B
    Eur Urol Focus; 2021 Mar; 7(2):347-351. PubMed ID: 31767543
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An Artificial Intelligence-based Support Tool for Automation and Standardisation of Gleason Grading in Prostate Biopsies.
    Marginean F; Arvidsson I; Simoulis A; Christian Overgaard N; Åström K; Heyden A; Bjartell A; Krzyzanowska A
    Eur Urol Focus; 2021 Sep; 7(5):995-1001. PubMed ID: 33303404
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Hybrid Unified Deep Learning Network for Highly Precise Gleason Grading of Prostate Cancer.
    Poojitha UP; Lal Sharma S
    Annu Int Conf IEEE Eng Med Biol Soc; 2019 Jul; 2019():899-903. PubMed ID: 31946039
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer.
    Marrón-Esquivel JM; Duran-Lopez L; Linares-Barranco A; Dominguez-Morales JP
    Comput Biol Med; 2023 Jun; 159():106856. PubMed ID: 37075600
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detecting and grading prostate cancer in radical prostatectomy specimens through deep learning techniques.
    Melo PAS; Estivallet CLN; Srougi M; Nahas WC; Leite KRM
    Clinics (Sao Paulo); 2021; 76():e3198. PubMed ID: 34730614
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison.
    Anilkumar KK; Manoj VJ; Sagi TM
    Med Eng Phys; 2021 Dec; 98():8-19. PubMed ID: 34848042
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Ultrasonographic pathological grading of prostate cancer using automatic region-based Gleason grading network.
    Lu X; Zhang S; Liu Z; Liu S; Huang J; Kong G; Li M; Liang Y; Cui Y; Yang C; Zhao S
    Comput Med Imaging Graph; 2022 Dec; 102():102125. PubMed ID: 36257091
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Interobserver reproducibility of Gleason grading: evaluation using prostate cancer tissue microarrays.
    Burchardt M; Engers R; Müller M; Burchardt T; Willers R; Epstein JI; Ackermann R; Gabbert HE; de la Taille A; Rubin MA
    J Cancer Res Clin Oncol; 2008 Oct; 134(10):1071-8. PubMed ID: 18392850
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Development and Validation of an Artificial Intelligence-Powered Platform for Prostate Cancer Grading and Quantification.
    Huang W; Randhawa R; Jain P; Iczkowski KA; Hu R; Hubbard S; Eickhoff J; Basu H; Roy R
    JAMA Netw Open; 2021 Nov; 4(11):e2132554. PubMed ID: 34730818
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.