BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 36240595)

  • 1. MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images.
    Chattopadhyay S; Dey A; Singh PK; Oliva D; Cuevas E; Sarkar R
    Comput Biol Med; 2022 Nov; 150():106155. PubMed ID: 36240595
    [TBL] [Abstract][Full Text] [Related]  

  • 2. DRDA-Net: Dense residual dual-shuffle attention network for breast cancer classification using histopathological images.
    Chattopadhyay S; Dey A; Singh PK; Sarkar R
    Comput Biol Med; 2022 Jun; 145():105437. PubMed ID: 35339096
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Breast cancer pathological image classification based on deep learning.
    Hou Y
    J Xray Sci Technol; 2020; 28(4):727-738. PubMed ID: 32390646
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Breast Cancer Classification from Histopathological Images with Inception Recurrent Residual Convolutional Neural Network.
    Alom MZ; Yakopcic C; Nasrin MS; Taha TM; Asari VK
    J Digit Imaging; 2019 Aug; 32(4):605-617. PubMed ID: 30756265
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning.
    Srikantamurthy MM; Rallabandi VPS; Dudekula DB; Natarajan S; Park J
    BMC Med Imaging; 2023 Jan; 23(1):19. PubMed ID: 36717788
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Breast cancer histopathological image classification using a hybrid deep neural network.
    Yan R; Ren F; Wang Z; Wang L; Zhang T; Liu Y; Rao X; Zheng C; Zhang F
    Methods; 2020 Feb; 173():52-60. PubMed ID: 31212016
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Deep Learning Method for Breast Cancer Classification in the Pathology Images.
    Liu M; Hu L; Tang Y; Wang C; He Y; Zeng C; Lin K; He Z; Huo W
    IEEE J Biomed Health Inform; 2022 Oct; 26(10):5025-5032. PubMed ID: 35776828
    [TBL] [Abstract][Full Text] [Related]  

  • 9. MuDeRN: Multi-category classification of breast histopathological image using deep residual networks.
    Gandomkar Z; Brennan PC; Mello-Thoms C
    Artif Intell Med; 2018 Jun; 88():14-24. PubMed ID: 29705552
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Fine-Grained Breast Cancer Classification With Bilinear Convolutional Neural Networks (BCNNs).
    Liu W; Juhas M; Zhang Y
    Front Genet; 2020; 11():547327. PubMed ID: 33101377
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images-a Comparative Insight.
    Sharma S; Mehra R
    J Digit Imaging; 2020 Jun; 33(3):632-654. PubMed ID: 31900812
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module.
    Jiang Y; Chen L; Zhang H; Xiao X
    PLoS One; 2019; 14(3):e0214587. PubMed ID: 30925170
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Spectral-Spatial Features Integrated Convolution Neural Network for Breast Cancer Classification.
    Mewada HK; Patel AV; Hassaballah M; Alkinani MH; Mahant K
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32842640
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Breast Cancer Multi-classification from Histopathological Images with Structured Deep Learning Model.
    Han Z; Wei B; Zheng Y; Yin Y; Li K; Li S
    Sci Rep; 2017 Jun; 7(1):4172. PubMed ID: 28646155
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification of Breast Cancer Histopathological Images Using DenseNet and Transfer Learning.
    Wakili MA; Shehu HA; Sharif MH; Sharif MHU; Umar A; Kusetogullari H; Ince IF; Uyaver S
    Comput Intell Neurosci; 2022; 2022():8904768. PubMed ID: 36262621
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Breast Cancer Histopathological Image Classification with Adversarial Image Synthesis.
    Gheshlaghi SH; Nok Enoch Kan C; Ye DH
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3387-3390. PubMed ID: 34891966
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Classification of Multiclass Histopathological Breast Images Using Residual Deep Learning.
    Eltoukhy MM; Hosny KM; Kassem MA
    Comput Intell Neurosci; 2022; 2022():9086060. PubMed ID: 36262625
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Research on breast cancer pathological image classification method based on wavelet transform and YOLOv8.
    Yang Y; Wang J
    J Xray Sci Technol; 2024; 32(3):677-687. PubMed ID: 38189740
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.