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 *

183 related articles for article (PubMed ID: 36086171)

  • 1. Vision Transformers for Classification of Breast Ultrasound Images.
    Gheflati B; Rivaz H
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():480-483. PubMed ID: 36086171
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Classification of multi-feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks.
    Xu P; Zhao J; Wan M; Song Q; Su Q; Wang D
    Med Phys; 2024 Jun; 51(6):4243-4257. PubMed ID: 38436433
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Distilling Knowledge From an Ensemble of Vision Transformers for Improved Classification of Breast Ultrasound.
    Zhou G; Mosadegh B
    Acad Radiol; 2024 Jan; 31(1):104-120. PubMed ID: 37666747
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A VGG attention vision transformer network for benign and malignant classification of breast ultrasound images.
    Qu X; Lu H; Tang W; Wang S; Zheng D; Hou Y; Jiang J
    Med Phys; 2022 Sep; 49(9):5787-5798. PubMed ID: 35866492
    [TBL] [Abstract][Full Text] [Related]  

  • 5. BUViTNet: Breast Ultrasound Detection via Vision Transformers.
    Ayana G; Choe SW
    Diagnostics (Basel); 2022 Nov; 12(11):. PubMed ID: 36359497
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Classification of Breast Masses on Ultrasound Shear Wave Elastography using Convolutional Neural Networks.
    Fujioka T; Katsuta L; Kubota K; Mori M; Kikuchi Y; Kato A; Oda G; Nakagawa T; Kitazume Y; Tateishi U
    Ultrason Imaging; 2020; 42(4-5):213-220. PubMed ID: 32501152
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images.
    Xing J; Chen C; Lu Q; Cai X; Yu A; Xu Y; Xia X; Sun Y; Xiao J; Huang L
    IEEE J Biomed Health Inform; 2021 Jun; 25(6):2058-2070. PubMed ID: 33119515
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CAM-QUS guided self-tuning modular CNNs with multi-loss functions for fully automated breast lesion classification in ultrasound images.
    Tasnim J; Hasan MK
    Phys Med Biol; 2023 Dec; 69(1):. PubMed ID: 38056017
    [No Abstract]   [Full Text] [Related]  

  • 9. Evaluating the performance of convolutional neural networks with direct acyclic graph architectures in automatic segmentation of breast lesion in US images.
    Costa MGF; Campos JPM; de Aquino E Aquino G; de Albuquerque Pereira WC; Costa Filho CFF
    BMC Med Imaging; 2019 Nov; 19(1):85. PubMed ID: 31703642
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Cross-Attention Based Multi-Resolution Feature Fusion Model for Self-Supervised Cervical OCT Image Classification.
    Wang Q; Chen K; Dou W; Ma Y
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(4):2541-2554. PubMed ID: 37027657
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ultrasound Image Analysis with Vision Transformers-Review.
    Vafaeezadeh M; Behnam H; Gifani P
    Diagnostics (Basel); 2024 Mar; 14(5):. PubMed ID: 38473014
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Breast Tumor Classification using Short-ResNet with Pixel-based Tumor Probability Map in Ultrasound Images.
    Wang YW; Kuo TT; Chou YH; Su Y; Huang SH; Chen CJ
    Ultrason Imaging; 2023 Mar; 45(2):74-84. PubMed ID: 36951105
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of response to neoadjuvant chemotherapy in breast cancer with recurrent neural networks and raw ultrasound signals.
    Byra M; Dobruch-Sobczak K; Piotrzkowska-Wroblewska H; Klimonda Z; Litniewski J
    Phys Med Biol; 2022 Sep; 67(18):. PubMed ID: 36001984
    [No Abstract]   [Full Text] [Related]  

  • 14. Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
    Ciritsis A; Rossi C; Eberhard M; Marcon M; Becker AS; Boss A
    Eur Radiol; 2019 Oct; 29(10):5458-5468. PubMed ID: 30927100
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CAEVT: Convolutional Autoencoder Meets Lightweight Vision Transformer for Hyperspectral Image Classification.
    Zhang Z; Li T; Tang X; Hu X; Peng Y
    Sensors (Basel); 2022 May; 22(10):. PubMed ID: 35632310
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Global guidance network for breast lesion segmentation in ultrasound images.
    Xue C; Zhu L; Fu H; Hu X; Li X; Zhang H; Heng PA
    Med Image Anal; 2021 May; 70():101989. PubMed ID: 33640719
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification.
    Pang T; Wong JHD; Ng WL; Chan CS
    Comput Methods Programs Biomed; 2021 May; 203():106018. PubMed ID: 33714900
    [TBL] [Abstract][Full Text] [Related]  

  • 18. An effective convolutional neural network for classification of benign and malignant breast and thyroid tumors from ultrasound images.
    Tian R; Yu M; Liao L; Zhang C; Zhao J; Sang L; Qian W; Wang Z; Huang L; Ma H
    Phys Eng Sci Med; 2023 Sep; 46(3):995-1013. PubMed ID: 37195403
    [TBL] [Abstract][Full Text] [Related]  

  • 19. FMRNet: A fused network of multiple tumoral regions for breast tumor classification with ultrasound images.
    Cui W; Peng Y; Yuan G; Cao W; Cao Y; Lu Z; Ni X; Yan Z; Zheng J
    Med Phys; 2022 Jan; 49(1):144-157. PubMed ID: 34766623
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A generic deep learning framework to classify thyroid and breast lesions in ultrasound images.
    Zhu YC; AlZoubi A; Jassim S; Jiang Q; Zhang Y; Wang YB; Ye XD; DU H
    Ultrasonics; 2021 Feb; 110():106300. PubMed ID: 33232887
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.