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 *

190 related articles for article (PubMed ID: 39275424)

  • 1. Ultrasonic Assessment of Liver Fibrosis Using One-Dimensional Convolutional Neural Networks Based on Frequency Spectra of Radiofrequency Signals with Deep Learning Segmentation of Liver Regions in B-Mode Images: A Feasibility Study.
    Ai H; Huang Y; Tai DI; Tsui PH; Zhou Z
    Sensors (Basel); 2024 Aug; 24(17):. PubMed ID: 39275424
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of Hepatic Fibrosis Using Ultrasound Backscattered Radiofrequency Signals and One-Dimensional Convolutional Neural Networks.
    Huang Y; Zeng Y; Bin G; Ding Q; Wu S; Tai DI; Tsui PH; Zhou Z
    Diagnostics (Basel); 2022 Nov; 12(11):. PubMed ID: 36428892
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Temporal stability assessment in shear wave elasticity images validated by deep learning neural network for chronic liver disease fibrosis stage assessment.
    Gatos I; Tsantis S; Spiliopoulos S; Karnabatidis D; Theotokas I; Zoumpoulis P; Loupas T; Hazle JD; Kagadis GC
    Med Phys; 2019 May; 46(5):2298-2309. PubMed ID: 30929260
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic liver segmentation and assessment of liver fibrosis using deep learning with MR T1-weighted images in rats.
    Zhang W; Zhao N; Gao Y; Huang B; Wang L; Zhou X; Li Z
    Magn Reson Imaging; 2024 Apr; 107():1-7. PubMed ID: 38147969
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantitative evaluation of liver fibrosis based on ultrasound radio frequency signals: An animal experimental study.
    Cheng G; Dai M; Xiao T; Fu T; Han H; Wang Y; Wang W; Ding H; Yu J
    Comput Methods Programs Biomed; 2021 Feb; 199():105875. PubMed ID: 33340924
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MBR-Net: A multi-branch residual network based on ultrasound backscattered signals for characterizing pediatric hepatic steatosis.
    Wang Q; Lai MW; Bin G; Ding Q; Wu S; Zhou Z; Tsui PH
    Ultrasonics; 2023 Dec; 135():107093. PubMed ID: 37482038
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diagnosis of liver fibrosis in patients with hepatitis B-related liver disease using ultrasound with wave-number domain attenuation coefficient.
    He D; Zhang C; Qiu W; Xie Q
    Turk J Gastroenterol; 2020 Dec; 31(12):923-929. PubMed ID: 33626006
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Joint segmentation and classification of breast masses based on ultrasound radio-frequency data and convolutional neural networks.
    Byra M; Jarosik P; Dobruch-Sobczak K; Klimonda Z; Piotrzkowska-Wroblewska H; Litniewski J; Nowicki A
    Ultrasonics; 2022 Apr; 121():106682. PubMed ID: 35065458
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Estimating 3-dimensional liver motion using deep learning and 2-dimensional ultrasound images.
    Yagasaki S; Koizumi N; Nishiyama Y; Kondo R; Imaizumi T; Matsumoto N; Ogawa M; Numata K
    Int J Comput Assist Radiol Surg; 2020 Dec; 15(12):1989-1995. PubMed ID: 33009985
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Liver Fibrosis Assessment Using Radiomics of Ultrasound Homodyned-K imaging Based on the Artificial Neural Network Estimator.
    Zhou Z; Zhang Z; Gao A; Tai DI; Wu S; Tsui PH
    Ultrason Imaging; 2022 Nov; 44(5-6):229-241. PubMed ID: 36017590
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Automated classification of liver fibrosis stages using ultrasound imaging.
    Park HC; Joo Y; Lee OJ; Lee K; Song TK; Choi C; Choi MH; Yoon C
    BMC Med Imaging; 2024 Feb; 24(1):36. PubMed ID: 38321373
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection of liver cirrhosis in standard T2-weighted MRI using deep transfer learning.
    Nowak S; Mesropyan N; Faron A; Block W; Reuter M; Attenberger UI; Luetkens JA; Sprinkart AM
    Eur Radiol; 2021 Nov; 31(11):8807-8815. PubMed ID: 33974149
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparative Study of Raw Ultrasound Data Representations in Deep Learning to Classify Hepatic Steatosis.
    Sanabria SJ; Pirmoazen AM; Dahl J; Kamaya A; El Kaffas A
    Ultrasound Med Biol; 2022 Oct; 48(10):2060-2078. PubMed ID: 35914993
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Liver Fibrosis: Deep Convolutional Neural Network for Staging by Using Gadoxetic Acid-enhanced Hepatobiliary Phase MR Images.
    Yasaka K; Akai H; Kunimatsu A; Abe O; Kiryu S
    Radiology; 2018 Apr; 287(1):146-155. PubMed ID: 29239710
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Evaluation of ultrasonic fibrosis diagnostic system using convolutional network for ordinal regression.
    Saito R; Koizumi N; Nishiyama Y; Imaizumi T; Kusahara K; Yagasaki S; Matsumoto N; Masuzaki R; Takahashi T; Ogawa M
    Int J Comput Assist Radiol Surg; 2021 Nov; 16(11):1969-1975. PubMed ID: 34545465
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning for assessing liver fibrosis based on acoustic nonlinearity maps: an in vivo study of rabbits.
    Song J; Yin H; Huang J; Wu Z; Wei C; Qiu T; Luo Y
    Comput Assist Surg (Abingdon); 2022 Dec; 27(1):15-26. PubMed ID: 35559651
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning with ultrasonography: automated classification of liver fibrosis using a deep convolutional neural network.
    Lee JH; Joo I; Kang TW; Paik YH; Sinn DH; Ha SY; Kim K; Choi C; Lee G; Yi J; Bang WC
    Eur Radiol; 2020 Feb; 30(2):1264-1273. PubMed ID: 31478087
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries.
    Mishra D; Chaudhury S; Sarkar M; Soin AS
    IEEE Trans Biomed Eng; 2019 Jun; 66(6):1637-1648. PubMed ID: 30346279
    [TBL] [Abstract][Full Text] [Related]  

  • 19. W-Net: Dense and diagnostic semantic segmentation of subcutaneous and breast tissue in ultrasound images by incorporating ultrasound RF waveform data.
    Gare GR; Li J; Joshi R; Magar R; Vaze MP; Yousefpour M; Rodriguez RL; Galeotti JM
    Med Image Anal; 2022 Feb; 76():102326. PubMed ID: 34936967
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantification of Degree of Liver Fibrosis Using Fibrosis Area Fraction Based on Statistical Chi-Square Analysis of Heterogeneity of Liver Tissue Texture on Routine Ultrasound Images.
    Li J; Qureshi M; Gupta A; Anderson SW; Soto J; Li B
    Acad Radiol; 2019 Aug; 26(8):1001-1007. PubMed ID: 30393055
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.