BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

663 related articles for article (PubMed ID: 33159948)

  • 21. A convolutional neural network-based learning approach to acute lymphoblastic leukaemia detection with automated feature extraction.
    Anwar S; Alam A
    Med Biol Eng Comput; 2020 Dec; 58(12):3113-3121. PubMed ID: 33159270
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning.
    Nowak S; Mesropyan N; Faron A; Block W; Reuter M; Attenberger UI; Luetkens JA; Sprinkart AM
    Eur Radiol; 2021 Nov; 31(11):8807-8815. PubMed ID: 33974149
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep morphology aided diagnosis network for segmentation of carotid artery vessel wall and diagnosis of carotid atherosclerosis on black-blood vessel wall MRI.
    Wu J; Xin J; Yang X; Sun J; Xu D; Zheng N; Yuan C
    Med Phys; 2019 Dec; 46(12):5544-5561. PubMed ID: 31356693
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Diagnosis of Leukaemia in Blood Slides Based on a Fine-Tuned and Highly Generalisable Deep Learning Model.
    Vogado L; Veras R; Aires K; Araújo F; Silva R; Ponti M; Tavares JMRS
    Sensors (Basel); 2021 Apr; 21(9):. PubMed ID: 33923209
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Development and multi-institutional validation of a convolutional neural network to detect vertebral body mis-alignments in 2D x-ray setup images.
    Petragallo R; Bertram P; Halvorsen P; Iftimia I; Low DA; Morin O; Narayanasamy G; Saenz DL; Sukumar KN; Valdes G; Weinstein L; Wells MC; Ziemer BP; Lamb JM
    Med Phys; 2023 May; 50(5):2662-2671. PubMed ID: 36908243
    [TBL] [Abstract][Full Text] [Related]  

  • 26. White blood cells detection and classification based on regional convolutional neural networks.
    Kutlu H; Avci E; Özyurt F
    Med Hypotheses; 2020 Feb; 135():109472. PubMed ID: 31760248
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Transfer learning using a multi-scale and multi-network ensemble for skin lesion classification.
    Mahbod A; Schaefer G; Wang C; Dorffner G; Ecker R; Ellinger I
    Comput Methods Programs Biomed; 2020 Sep; 193():105475. PubMed ID: 32268255
    [TBL] [Abstract][Full Text] [Related]  

  • 28. GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification.
    Tang P; Liang Q; Yan X; Xiang S; Zhang D
    IEEE J Biomed Health Inform; 2020 Oct; 24(10):2870-2882. PubMed ID: 32142460
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Acute Lymphoblastic Leukemia Detection and Classification of Its Subtypes Using Pretrained Deep Convolutional Neural Networks.
    Shafique S; Tehsin S
    Technol Cancer Res Treat; 2018 Jan; 17():1533033818802789. PubMed ID: 30261827
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An analysis of the influence of transfer learning when measuring the tortuosity of blood vessels.
    da Silva MV; Ouellette J; Lacoste B; Comin CH
    Comput Methods Programs Biomed; 2022 Oct; 225():107021. PubMed ID: 35914440
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Deep learning approaches using 2D and 3D convolutional neural networks for generating male pelvic synthetic computed tomography from magnetic resonance imaging.
    Fu J; Yang Y; Singhrao K; Ruan D; Chu FI; Low DA; Lewis JH
    Med Phys; 2019 Sep; 46(9):3788-3798. PubMed ID: 31220353
    [TBL] [Abstract][Full Text] [Related]  

  • 32. A deep learning framework for automatic detection of arbitrarily shaped fiducial markers in intrafraction fluoroscopic images.
    Mylonas A; Keall PJ; Booth JT; Shieh CC; Eade T; Poulsen PR; Nguyen DT
    Med Phys; 2019 May; 46(5):2286-2297. PubMed ID: 30929254
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Improving convolutional neural network learning based on a hierarchical bezier generative model for stenosis detection in X-ray images.
    Ovalle-Magallanes E; Avina-Cervantes JG; Cruz-Aceves I; Ruiz-Pinales J
    Comput Methods Programs Biomed; 2022 Jun; 219():106767. PubMed ID: 35364481
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Segmentation of lung parenchyma in CT images using CNN trained with the clustering algorithm generated dataset.
    Xu M; Qi S; Yue Y; Teng Y; Xu L; Yao Y; Qian W
    Biomed Eng Online; 2019 Jan; 18(1):2. PubMed ID: 30602393
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Evaluation of deep learning training strategies for the classification of bone marrow cell images.
    Glüge S; Balabanov S; Koelzer VH; Ott T
    Comput Methods Programs Biomed; 2024 Jan; 243():107924. PubMed ID: 37979517
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Single-cell conventional pap smear image classification using pre-trained deep neural network architectures.
    Mohammed MA; Abdurahman F; Ayalew YA
    BMC Biomed Eng; 2021 Jun; 3(1):11. PubMed ID: 34187589
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Which data subset should be augmented for deep learning? a simulation study using urothelial cell carcinoma histopathology images.
    Ameen YA; Badary DM; Abonnoor AEI; Hussain KF; Sewisy AA
    BMC Bioinformatics; 2023 Mar; 24(1):75. PubMed ID: 36869300
    [TBL] [Abstract][Full Text] [Related]  

  • 38. 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]  

  • 39. Deep learning-based image annotation for leukocyte segmentation and classification of blood cell morphology.
    Anand V; Gupta S; Koundal D; Alghamdi WY; Alsharbi BM
    BMC Med Imaging; 2024 Apr; 24(1):83. PubMed ID: 38589793
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Convolutional neural network to predict the local recurrence of giant cell tumor of bone after curettage based on pre-surgery magnetic resonance images.
    He Y; Guo J; Ding X; van Ooijen PMA; Zhang Y; Chen A; Oudkerk M; Xie X
    Eur Radiol; 2019 Oct; 29(10):5441-5451. PubMed ID: 30859281
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 34.