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 *

253 related articles for article (PubMed ID: 38436433)

  • 1. 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]  

  • 2. Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images.
    Huang Y; Han L; Dou H; Luo H; Yuan Z; Liu Q; Zhang J; Yin G
    Biomed Eng Online; 2019 Jan; 18(1):8. PubMed ID: 30678680
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. The uncertainty of boundary can improve the classification accuracy of BI-RADS 4A ultrasound image.
    Wang H; Hu Y; Lu Y; Zhou J; Guo Y
    Med Phys; 2022 May; 49(5):3314-3324. PubMed ID: 35261034
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Automated BI-RADS classification of lesions using pyramid triple deep feature generator technique on breast ultrasound images.
    Kaplan E; Chan WY; Dogan S; Barua PD; Bulut HT; Tuncer T; Cizik M; Tan RS; Acharya UR
    Med Eng Phys; 2022 Oct; 108():103895. PubMed ID: 36195364
    [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. Fully automatic classification of automated breast ultrasound (ABUS) imaging according to BI-RADS using a deep convolutional neural network.
    Hejduk P; Marcon M; Unkelbach J; Ciritsis A; Rossi C; Borkowski K; Boss A
    Eur Radiol; 2022 Jul; 32(7):4868-4878. PubMed ID: 35147776
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A combined ultrasonic B-mode and color Doppler system for the classification of breast masses using neural network.
    Qian X; Zhang B; Liu S; Wang Y; Chen X; Liu J; Yang Y; Chen X; Wei Y; Xiao Q; Ma J; Shung KK; Zhou Q; Liu L; Chen Z
    Eur Radiol; 2020 May; 30(5):3023-3033. PubMed ID: 32006174
    [TBL] [Abstract][Full Text] [Related]  

  • 10. EMD-DWT based transform domain feature reduction approach for quantitative multi-class classification of breast lesions.
    Ara SR; Bashar SK; Alam F; Hasan MK
    Ultrasonics; 2017 Sep; 80():22-33. PubMed ID: 28499122
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast Tumor Classification in Ultrasound Images by Fusion of Deep Convolutional Neural Network and Shallow LBP Feature.
    Chen H; Ma M; Liu G; Wang Y; Jin Z; Liu C
    J Digit Imaging; 2023 Jun; 36(3):932-946. PubMed ID: 36720840
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Segmentation-based BI-RADS ensemble classification of breast tumours in ultrasound images.
    Bobowicz M; Badocha M; Gwozdziewicz K; Rygusik M; Kalinowska P; Szurowska E; Dziubich T
    Int J Med Inform; 2024 Sep; 189():105522. PubMed ID: 38852288
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive value of contrast-enhanced ultrasonography and ultrasound elastography for management of BI-RADS category 4 nonpalpable breast masses.
    Niu Q; Zhao L; Wang R; Du L; Shi Q; Jia C; Li G; Jin L; Li F
    Eur J Radiol; 2024 Apr; 173():111391. PubMed ID: 38422608
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fus2Net: a novel Convolutional Neural Network for classification of benign and malignant breast tumor in ultrasound images.
    Ma H; Tian R; Li H; Sun H; Lu G; Liu R; Wang Z
    Biomed Eng Online; 2021 Nov; 20(1):112. PubMed ID: 34794443
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. 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]  

  • 17. A deep learning method for classifying mammographic breast density categories.
    Mohamed AA; Berg WA; Peng H; Luo Y; Jankowitz RC; Wu S
    Med Phys; 2018 Jan; 45(1):314-321. PubMed ID: 29159811
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of Deep Learning to Reduce the Rate of Malignancy Among BI-RADS 4A Breast Lesions Based on Ultrasonography.
    Zhao Z; Hou S; Li S; Sheng D; Liu Q; Chang C; Chen J; Li J
    Ultrasound Med Biol; 2022 Nov; 48(11):2267-2275. PubMed ID: 36055860
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The Utility of the Fifth Edition of the BI-RADS Ultrasound Lexicon in Category 4 Breast Lesions: A Prospective Multicenter Study in China.
    Gu Y; Tian JW; Ran HT; Ren WD; Chang C; Yuan JJ; Kang CS; Deng YB; Wang H; Luo BM; Guo SL; Zhou Q; Xue ES; Zhan WW; Zhou Q; Li J; Zhou P; Zhang CQ; Chen M; Gu Y; Xu JF; Chen W; Zhang YH; Wang HQ; Li JC; Wang HY; Jiang YX
    Acad Radiol; 2022 Jan; 29 Suppl 1():S26-S34. PubMed ID: 32768352
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-Task/Single-Task Joint Learning of Ultrasound BI-RADS Features.
    Huang Q; Ye L
    IEEE Trans Ultrason Ferroelectr Freq Control; 2022 Feb; 69(2):691-701. PubMed ID: 34871170
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 13.