These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 36679453)

  • 41. Feature Selection Based on High Dimensional Model Representation for Hyperspectral Images.
    Taskin G; Kaya H; Bruzzone L
    IEEE Trans Image Process; 2017 Jun; 26(6):2918-2928. PubMed ID: 28358688
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Modified shape index for object-based random forest image classification of agricultural systems using airborne hyperspectral datasets.
    Salas EAL; Subburayalu SK
    PLoS One; 2019; 14(3):e0213356. PubMed ID: 30845216
    [TBL] [Abstract][Full Text] [Related]  

  • 43. [Motor Imagery Electroencephalogram Feature Selection Algorithm Based on Mutual Information and Principal Component Analysis].
    Xu J; Zuo G
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2016 Apr; 33(2):201-7. PubMed ID: 29708316
    [TBL] [Abstract][Full Text] [Related]  

  • 44. A new hyperspectral image classification method based on spatial-spectral features.
    Shenming Q; Xiang L; Zhihua G
    Sci Rep; 2022 Jan; 12(1):1541. PubMed ID: 35087142
    [TBL] [Abstract][Full Text] [Related]  

  • 45. Three-Dimensional ResNeXt Network Using Feature Fusion and Label Smoothing for Hyperspectral Image Classification.
    Wu P; Cui Z; Gan Z; Liu F
    Sensors (Basel); 2020 Mar; 20(6):. PubMed ID: 32188082
    [TBL] [Abstract][Full Text] [Related]  

  • 46. Eigenimage2Eigenimage (E2E): A Self-Supervised Deep Learning Network for Hyperspectral Image Denoising.
    Zhuang L; Ng MK; Gao L; Michalski J; Wang Z
    IEEE Trans Neural Netw Learn Syst; 2023 Jul; PP():. PubMed ID: 37467089
    [TBL] [Abstract][Full Text] [Related]  

  • 47. Rotation-Invariant Attention Network for Hyperspectral Image Classification.
    Zheng X; Sun H; Lu X; Xie W
    IEEE Trans Image Process; 2022; 31():4251-4265. PubMed ID: 35635815
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Multi-Objective Unsupervised Band Selection Method for Hyperspectral Images Classification.
    Ou X; Wu M; Tu B; Zhang G; Li W
    IEEE Trans Image Process; 2023 Mar; PP():. PubMed ID: 37030738
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Hyperspectral Image Classification Model Using Squeeze and Excitation Network with Deep Learning.
    T R; Valsalan P; J A; M J; S R; Latha G CP; T A
    Comput Intell Neurosci; 2022; 2022():9430779. PubMed ID: 35965752
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Sparse Feature Learning of Hyperspectral Imagery via Multiobjective-Based Extreme Learning Machine.
    Fang X; Cai Y; Cai Z; Jiang X; Chen Z
    Sensors (Basel); 2020 Feb; 20(5):. PubMed ID: 32110909
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Multi-Scale Superpixel-Guided Structural Profiles for Hyperspectral Image Classification.
    Wang N; Zeng X; Duan Y; Deng B; Mo Y; Xie Z; Duan P
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366196
    [TBL] [Abstract][Full Text] [Related]  

  • 52. A PCA aided cross-covariance scheme for discriminative feature extraction from EEG signals.
    Zarei R; He J; Siuly S; Zhang Y
    Comput Methods Programs Biomed; 2017 Jul; 146():47-57. PubMed ID: 28688489
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Identification of potential biomarkers on microarray data using distributed gene selection approach.
    Shukla AK; Tripathi D
    Math Biosci; 2019 Sep; 315():108230. PubMed ID: 31326384
    [TBL] [Abstract][Full Text] [Related]  

  • 54. Heterogeneous Regularization-Based Tensor Subspace Clustering for Hyperspectral Band Selection.
    Huang S; Zhang H; Xue J; Pizurica A
    IEEE Trans Neural Netw Learn Syst; 2023 Nov; 34(11):9259-9273. PubMed ID: 35294365
    [TBL] [Abstract][Full Text] [Related]  

  • 55. Target Recognition of SAR Images Based on SVM and KSRC.
    Zhao H
    Comput Intell Neurosci; 2021; 2021():4322678. PubMed ID: 34903963
    [TBL] [Abstract][Full Text] [Related]  

  • 56. Using dual-channel CNN to classify hyperspectral image based on spatial-spectral information.
    Song HF; Yang WW; Dai SS; Du L; Sun YC
    Math Biosci Eng; 2020 May; 17(4):3450-3477. PubMed ID: 32987538
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Region-Aware Hierarchical Latent Feature Representation Learning-Guided Clustering for Hyperspectral Band Selection.
    Wang J; Tang C; Liu X; Zhang W; Li W; Zhu X; Wang L; Zomaya AY
    IEEE Trans Cybern; 2023 Aug; 53(8):5250-5263. PubMed ID: 35994538
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Superpixel-based spectral classification for the detection of head and neck cancer with hyperspectral imaging.
    Chung H; Lu G; Tian Z; Wang D; Chen ZG; Fei B
    Proc SPIE Int Soc Opt Eng; 2016 Feb; 9788():. PubMed ID: 27656035
    [TBL] [Abstract][Full Text] [Related]  

  • 59. Cube is a good form: Hyperspectral band selection via multi-dimensional and high-order structure preserved clustering.
    Yang X; Ding D; Xia F; Zhuang D; Tang C
    Neural Netw; 2024 Nov; 179():106531. PubMed ID: 39029296
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Unsupervised band selection of medical hyperspectral images guided by data gravitation and weak correlation.
    Zhang C; Zhang Z; Yu D; Cheng Q; Shan S; Li M; Mou L; Yang X; Ma X
    Comput Methods Programs Biomed; 2023 Oct; 240():107721. PubMed ID: 37506601
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.