BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

152 related articles for article (PubMed ID: 33178434)

  • 1. Fusion of whole and part features for the classification of histopathological image of breast tissue.
    Sitaula C; Aryal S
    Health Inf Sci Syst; 2020 Dec; 8(1):38. PubMed ID: 33178434
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Breast cancer detection from biopsy images using nucleus guided transfer learning and belief based fusion.
    George K; Faziludeen S; Sankaran P; Joseph K P
    Comput Biol Med; 2020 Sep; 124():103954. PubMed ID: 32777599
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Computer assisted recognition of breast cancer in biopsy images via fusion of nucleus-guided deep convolutional features.
    George K; Sankaran P; K PJ
    Comput Methods Programs Biomed; 2020 Oct; 194():105531. PubMed ID: 32422473
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Conventional Machine Learning versus Deep Learning for Magnification Dependent Histopathological Breast Cancer Image Classification: A Comparative Study with Visual Explanation.
    Boumaraf S; Liu X; Wan Y; Zheng Z; Ferkous C; Ma X; Li Z; Bardou D
    Diagnostics (Basel); 2021 Mar; 11(3):. PubMed ID: 33809611
    [TBL] [Abstract][Full Text] [Related]  

  • 5. BCHisto-Net: Breast histopathological image classification by global and local feature aggregation.
    R R; Prasad K; Udupa CBK
    Artif Intell Med; 2021 Nov; 121():102191. PubMed ID: 34763806
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Feature Generalization for Breast Cancer Detection in Histopathological Images.
    Das R; Kaur K; Walia E
    Interdiscip Sci; 2022 Jun; 14(2):566-581. PubMed ID: 35482216
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hybrid Models Based on Fusion Features of a CNN and Handcrafted Features for Accurate Histopathological Image Analysis for Diagnosing Malignant Lymphomas.
    Hamdi M; Senan EM; Jadhav ME; Olayah F; Awaji B; Alalayah KM
    Diagnostics (Basel); 2023 Jul; 13(13):. PubMed ID: 37443652
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Breast cancer histopathological images classification based on deep semantic features and gray level co-occurrence matrix.
    Hao Y; Zhang L; Qiao S; Bai Y; Cheng R; Xue H; Hou Y; Zhang W; Zhang G
    PLoS One; 2022; 17(5):e0267955. PubMed ID: 35511877
    [TBL] [Abstract][Full Text] [Related]  

  • 9. BIRADS features-oriented semi-supervised deep learning for breast ultrasound computer-aided diagnosis.
    Zhang E; Seiler S; Chen M; Lu W; Gu X
    Phys Med Biol; 2020 Jun; 65(12):125005. PubMed ID: 32155605
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improving feature extraction from histopathological images through a fine-tuning ImageNet model.
    Li X; Cen M; Xu J; Zhang H; Xu XS
    J Pathol Inform; 2022; 13():100115. PubMed ID: 36268072
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast ultrasound tumor image classification using image decomposition and fusion based on adaptive multi-model spatial feature fusion.
    Zhuang Z; Yang Z; Raj ANJ; Wei C; Jin P; Zhuang S
    Comput Methods Programs Biomed; 2021 Sep; 208():106221. PubMed ID: 34144251
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computer-assisted lip diagnosis on Traditional Chinese Medicine using multi-class support vector machines.
    Li F; Zhao C; Xia Z; Wang Y; Zhou X; Li GZ
    BMC Complement Altern Med; 2012 Aug; 12():127. PubMed ID: 22898352
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep feature classification of angiomyolipoma without visible fat and renal cell carcinoma in abdominal contrast-enhanced CT images with texture image patches and hand-crafted feature concatenation.
    Lee H; Hong H; Kim J; Jung DC
    Med Phys; 2018 Apr; 45(4):1550-1561. PubMed ID: 29474742
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron
    Lai Z; Deng H
    Comput Intell Neurosci; 2018; 2018():2061516. PubMed ID: 30298088
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A novel biomedical image indexing and retrieval system via deep preference learning.
    Pang S; Orgun MA; Yu Z
    Comput Methods Programs Biomed; 2018 May; 158():53-69. PubMed ID: 29544790
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effective diagnostic model construction based on discriminative breast ultrasound image regions using deep feature extraction.
    Yu H; Sun H; Li J; Shi L; Bao N; Li H; Qian W; Zhou S
    Med Phys; 2021 Jun; 48(6):2920-2928. PubMed ID: 33690962
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep Learning Based Analysis of Histopathological Images of Breast Cancer.
    Xie J; Liu R; Luttrell J; Zhang C
    Front Genet; 2019; 10():80. PubMed ID: 30838023
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dilated and soft attention-guided convolutional neural network for breast cancer histology images classification.
    Zhong Y; Piao Y; Zhang G
    Microsc Res Tech; 2022 Apr; 85(4):1248-1257. PubMed ID: 34859543
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic classification of tissue malignancy for breast carcinoma diagnosis.
    Fondón I; Sarmiento A; García AI; Silvestre M; Eloy C; Polónia A; Aguiar P
    Comput Biol Med; 2018 May; 96():41-51. PubMed ID: 29544146
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 8.