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 *

133 related articles for article (PubMed ID: 33930573)

  • 1. Detection and Segmentation of Breast Masses Based on Multi-Layer Feature Fusion.
    An J; Yu H; Bai R; Li J; Wang Y; Cao R
    Methods; 2022 Jun; 202():54-61. PubMed ID: 33930573
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Integrating segmentation information into CNN for breast cancer diagnosis of mammographic masses.
    Tsochatzidis L; Koutla P; Costaridou L; Pratikakis I
    Comput Methods Programs Biomed; 2021 Mar; 200():105913. PubMed ID: 33422854
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A Novel Algorithm for Breast Mass Classification in Digital Mammography Based on Feature Fusion.
    Zhang Q; Li Y; Zhao G; Man P; Lin Y; Wang M
    J Healthc Eng; 2020; 2020():8860011. PubMed ID: 33425311
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram.
    Oyelade ON; Ezugwu AE
    Sci Rep; 2022 Apr; 12(1):5913. PubMed ID: 35396565
    [TBL] [Abstract][Full Text] [Related]  

  • 5. YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms.
    Su Y; Liu Q; Xie W; Hu P
    Comput Methods Programs Biomed; 2022 Jun; 221():106903. PubMed ID: 35636358
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated mammographic mass detection using deformable convolution and multiscale features.
    Peng J; Bao C; Hu C; Wang X; Jian W; Liu W
    Med Biol Eng Comput; 2020 Jul; 58(7):1405-1417. PubMed ID: 32297129
    [TBL] [Abstract][Full Text] [Related]  

  • 7. DV-DCNN: Dual-view deep convolutional neural network for matching detected masses in mammograms.
    AlGhamdi M; Abdel-Mottaleb M
    Comput Methods Programs Biomed; 2021 Aug; 207():106152. PubMed ID: 34058629
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Fusing attention mechanism with Mask R-CNN for instance segmentation of grape cluster in the field.
    Shen L; Su J; Huang R; Quan W; Song Y; Fang Y; Su B
    Front Plant Sci; 2022; 13():934450. PubMed ID: 35937371
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Enhanced breast mass mammography classification approach based on pre-processing and hybridization of transfer learning models.
    Boudouh SS; Bouakkaz M
    J Cancer Res Clin Oncol; 2023 Nov; 149(16):14549-14564. PubMed ID: 37567987
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning.
    Kim YJ; Kim KG
    Yonsei Med J; 2022 Jan; 63(Suppl):S63-S73. PubMed ID: 35040607
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast Masses Detection and Segmentation in Full-Field Digital Mammograms using Unified Convolution Neural Network.
    Rajasree PM; Jatti A; Santosh D; Desai U; Krishnappa VD
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():1002-1007. PubMed ID: 36085669
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A novel breast cancer detection architecture based on a CNN-CBR system for mammogram classification.
    Bouzar-Benlabiod L; Harrar K; Yamoun L; Khodja MY; Akhloufi MA
    Comput Biol Med; 2023 Sep; 163():107133. PubMed ID: 37327756
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Improved Mask R-CNN Multi-Target Detection and Segmentation for Autonomous Driving in Complex Scenes.
    Fang S; Zhang B; Hu J
    Sensors (Basel); 2023 Apr; 23(8):. PubMed ID: 37112194
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.
    Al-Masni MA; Al-Antari MA; Park JM; Gi G; Kim TY; Rivera P; Valarezo E; Choi MT; Han SM; Kim TS
    Comput Methods Programs Biomed; 2018 Apr; 157():85-94. PubMed ID: 29477437
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks.
    Bandeira Diniz JO; Bandeira Diniz PH; Azevedo Valente TL; Corrêa Silva A; de Paiva AC; Gattass M
    Comput Methods Programs Biomed; 2018 Mar; 156():191-207. PubMed ID: 29428071
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Mask-Refined R-CNN: A Network for Refining Object Details in Instance Segmentation.
    Zhang Y; Chu J; Leng L; Miao J
    Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32069927
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A novel bi-modal extended Huber loss function based refined mask RCNN approach for automatic multi instance detection and localization of breast cancer.
    Kumar P; Kumar A; Srivastava S; Padma Sai Y
    Proc Inst Mech Eng H; 2022 Jul; 236(7):1036-1053. PubMed ID: 35491993
    [TBL] [Abstract][Full Text] [Related]  

  • 18. YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms.
    Aly GH; Marey M; El-Sayed SA; Tolba MF
    Comput Methods Programs Biomed; 2021 Mar; 200():105823. PubMed ID: 33190942
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A New Computer-Aided Diagnosis System with Modified Genetic Feature Selection for BI-RADS Classification of Breast Masses in Mammograms.
    Boumaraf S; Liu X; Ferkous C; Ma X
    Biomed Res Int; 2020; 2020():7695207. PubMed ID: 32462017
    [TBL] [Abstract][Full Text] [Related]  

  • 20. ERetinaNet: An Efficient Neural Network Based on RetinaNet for Mammographic Breast Mass Detection.
    Chen L; Zhou Y; Xu S
    IEEE J Biomed Health Inform; 2024 May; 28(5):2866-2878. PubMed ID: 38427552
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.