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 *

129 related articles for article (PubMed ID: 36086472)

  • 1. Deep learning methods for lesion detection on mammography images: a comparative analysis.
    Ribeiro RF; Gomes-Fonseca J; Torres HR; Oliveira B; Vilhena E; Morais P; Vilaca JL
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3526-3529. PubMed ID: 36086472
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparative Analysis of Current Deep Learning Networks for Breast Lesion Segmentation in Ultrasound Images.
    Ferreira MR; Torres HR; Oliveira B; Gomes-Fonseca J; Morais P; Novais P; Vilaca JL
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3878-3881. PubMed ID: 36085645
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Comparative analysis of deep learning methods for lesion detection on full screening mammography.
    Ribeiro RF; Torres HR; Oliveira B; Morais P; Vilaca JL
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082575
    [TBL] [Abstract][Full Text] [Related]  

  • 4. SAP-cGAN: Adversarial learning for breast mass segmentation in digital mammogram based on superpixel average pooling.
    Li Y; Zhao G; Zhang Q; Lin Y; Wang M
    Med Phys; 2021 Mar; 48(3):1157-1167. PubMed ID: 33340125
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Few-shot learning with deformable convolution for multiscale lesion detection in mammography.
    Li C; Zhang D; Tian Z; Du S; Qu Y
    Med Phys; 2020 Jul; 47(7):2970-2985. PubMed ID: 32160321
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Comparison of segmentation-free and segmentation-dependent computer-aided diagnosis of breast masses on a public mammography dataset.
    Sawyer Lee R; Dunnmon JA; He A; Tang S; Ré C; Rubin DL
    J Biomed Inform; 2021 Jan; 113():103656. PubMed ID: 33309994
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram.
    Al-Antari MA; Al-Masni MA; Kim TS
    Adv Exp Med Biol; 2020; 1213():59-72. PubMed ID: 32030663
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A divide and conquer approach to maximise deep learning mammography classification accuracies.
    Jaamour A; Myles C; Patel A; Chen SJ; McMillan L; Harris-Birtill D
    PLoS One; 2023; 18(5):e0280841. PubMed ID: 37235566
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-Level Swin Transformer Enabled Automatic Segmentation and Classification of Breast Metastases.
    Masood A; Naseem U; Kim J
    Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082574
    [TBL] [Abstract][Full Text] [Related]  

  • 10. SCU-Net: A deep learning method for segmentation and quantification of breast arterial calcifications on mammograms.
    Guo X; O'Neill WC; Vey B; Yang TC; Kim TJ; Ghassemi M; Pan I; Gichoya JW; Trivedi H; Banerjee I
    Med Phys; 2021 Oct; 48(10):5851-5861. PubMed ID: 34328661
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Segmentation of Masses on Mammograms Using Data Augmentation and Deep Learning.
    Zeiser FA; da Costa CA; Zonta T; Marques NMC; Roehe AV; Moreno M; da Rosa Righi R
    J Digit Imaging; 2020 Aug; 33(4):858-868. PubMed ID: 32206943
    [TBL] [Abstract][Full Text] [Related]  

  • 12. TrEnD: A transformer-based encoder-decoder model with adaptive patch embedding for mass segmentation in mammograms.
    Liu D; Wu B; Li C; Sun Z; Zhang N
    Med Phys; 2023 May; 50(5):2884-2899. PubMed ID: 36609788
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Analysis of Current Deep Learning Networks for Semantic Segmentation of Anatomical Structures in Laparoscopic Surgery.
    Silva B; Oliveira B; Morais P; Buschle LR; Correia-Pinto J; Lima E; Vilaca JL
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():3502-3505. PubMed ID: 36085761
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep Learning to Improve Breast Cancer Detection on Screening Mammography.
    Shen L; Margolies LR; Rothstein JH; Fluder E; McBride R; Sieh W
    Sci Rep; 2019 Aug; 9(1):12495. PubMed ID: 31467326
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Lesion detection in women breast's dynamic contrast-enhanced magnetic resonance imaging using deep learning.
    Saikia S; Si T; Deb D; Bora K; Mallik S; Maulik U; Zhao Z
    Sci Rep; 2023 Dec; 13(1):22555. PubMed ID: 38110462
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Automatic prostate segmentation using deep learning on clinically diverse 3D transrectal ultrasound images.
    Orlando N; Gillies DJ; Gyacskov I; Romagnoli C; D'Souza D; Fenster A
    Med Phys; 2020 Jun; 47(6):2413-2426. PubMed ID: 32166768
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. A deep learning system to obtain the optimal parameters for a threshold-based breast and dense tissue segmentation.
    Pérez-Benito FJ; Signol F; Perez-Cortes JC; Fuster-Baggetto A; Pollan M; Pérez-Gómez B; Salas-Trejo D; Casals M; Martínez I; LLobet R
    Comput Methods Programs Biomed; 2020 Oct; 195():105668. PubMed ID: 32755754
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.