BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

1323 related articles for article (PubMed ID: 30452385)

  • 21. Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks.
    Valan M; Makonyi K; Maki A; Vondráček D; Ronquist F
    Syst Biol; 2019 Nov; 68(6):876-895. PubMed ID: 30825372
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A Novel Hybrid Feature Extraction Model for Classification on Pulmonary Nodules.
    Kailasam SP; Sathik MM
    Asian Pac J Cancer Prev; 2019 Feb; 20(2):457-468. PubMed ID: 30803208
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Deep Learning for Feature Extraction in Remote Sensing: A Case-Study of Aerial Scene Classification.
    Petrovska B; Zdravevski E; Lameski P; Corizzo R; Štajduhar I; Lerga J
    Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32674254
    [TBL] [Abstract][Full Text] [Related]  

  • 24. A novel extended Kalman filter with support vector machine based method for the automatic diagnosis and segmentation of brain tumors.
    Chen B; Zhang L; Chen H; Liang K; Chen X
    Comput Methods Programs Biomed; 2021 Mar; 200():105797. PubMed ID: 33317871
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Computer-aided diagnosis of endobronchial ultrasound images using convolutional neural network.
    Chen CH; Lee YW; Huang YS; Lan WR; Chang RF; Tu CY; Chen CY; Liao WC
    Comput Methods Programs Biomed; 2019 Aug; 177():175-182. PubMed ID: 31319946
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A New Approach to Fall Detection Based on Improved Dual Parallel Channels Convolutional Neural Network.
    Liu X; Li H; Lou C; Liang T; Liu X; Wang H
    Sensors (Basel); 2019 Jun; 19(12):. PubMed ID: 31238537
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Taxonomy of multi-focal nematode image stacks by a CNN based image fusion approach.
    Liu M; Wang X; Zhang H
    Comput Methods Programs Biomed; 2018 Mar; 156():209-215. PubMed ID: 29428072
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model.
    Ko YC; Wey SY; Chen WT; Chang YF; Chen MJ; Chiou SH; Liu CJ; Lee CY
    PLoS One; 2020; 15(5):e0233079. PubMed ID: 32407355
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Semi-Supervised Classification of PolSAR Images Based on Co-Training of CNN and SVM with Limited Labeled Samples.
    Zhao M; Cheng Y; Qin X; Yu W; Wang P
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850703
    [TBL] [Abstract][Full Text] [Related]  

  • 30. An Effective CNN Method for Fully Automated Segmenting Subcutaneous and Visceral Adipose Tissue on CT Scans.
    Wang Z; Meng Y; Weng F; Chen Y; Lu F; Liu X; Hou M; Zhang J
    Ann Biomed Eng; 2020 Jan; 48(1):312-328. PubMed ID: 31451989
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Comparison of hand-craft feature based SVM and CNN based deep learning framework for automatic polyp classification.
    Younghak Shin ; Balasingham I
    Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():3277-3280. PubMed ID: 29060597
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Convolutional neural network analysis of recurrence plots for high resolution melting classification.
    Ozkok FO; Celik M
    Comput Methods Programs Biomed; 2021 Aug; 207():106139. PubMed ID: 34029831
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Deep convolutional neural network based hyperspectral brain tissue classification.
    Poonkuzhali P; Helen Prabha K
    J Xray Sci Technol; 2023; 31(4):777-796. PubMed ID: 37182861
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Evaluation of magnetic resonance image segmentation in brain low-grade gliomas using support vector machine and convolutional neural network.
    Yang Q; Zhang H; Xia J; Zhang X
    Quant Imaging Med Surg; 2021 Jan; 11(1):300-316. PubMed ID: 33392030
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Activity landscape image analysis using convolutional neural networks.
    Iqbal J; Vogt M; Bajorath J
    J Cheminform; 2020 May; 12(1):34. PubMed ID: 33431003
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning.
    Dawud AM; Yurtkan K; Oztoprak H
    Comput Intell Neurosci; 2019; 2019():4629859. PubMed ID: 31281335
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Combining deep residual neural network features with supervised machine learning algorithms to classify diverse food image datasets.
    McAllister P; Zheng H; Bond R; Moorhead A
    Comput Biol Med; 2018 Apr; 95():217-233. PubMed ID: 29549733
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Few-shot cotton leaf spots disease classification based on metric learning.
    Liang X
    Plant Methods; 2021 Nov; 17(1):114. PubMed ID: 34749780
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Fundamental Heart Sound Classification using the Continuous Wavelet Transform and Convolutional Neural Networks.
    Meintjes A; Lowe A; Legget M
    Annu Int Conf IEEE Eng Med Biol Soc; 2018 Jul; 2018():409-412. PubMed ID: 30440420
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images.
    Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T
    Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 67.