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 *

202 related articles for article (PubMed ID: 33626114)

  • 1. Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images.
    Constantinescu EC; Udriștoiu AL; Udriștoiu ȘC; Iacob AV; Gruionu LG; Gruionu G; Săndulescu L; Săftoiu A
    Med Ultrason; 2021 May; 23(2):135-139. PubMed ID: 33626114
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Transfer learning with deep convolutional neural network for liver steatosis assessment in ultrasound images.
    Byra M; Styczynski G; Szmigielski C; Kalinowski P; Michałowski Ł; Paluszkiewicz R; Ziarkiewicz-Wróblewska B; Zieniewicz K; Sobieraj P; Nowicki A
    Int J Comput Assist Radiol Surg; 2018 Dec; 13(12):1895-1903. PubMed ID: 30094778
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods.
    Vasile CM; Udriștoiu AL; Ghenea AE; Popescu M; Gheonea C; Niculescu CE; Ungureanu AM; Udriștoiu Ș; Drocaş AI; Gruionu LG; Gruionu G; Iacob AV; Alexandru DO
    Medicina (Kaunas); 2021 Apr; 57(4):. PubMed ID: 33921597
    [No Abstract]   [Full Text] [Related]  

  • 4. Deep learning for abdominal ultrasound: A computer-aided diagnostic system for the severity of fatty liver.
    Chou TH; Yeh HJ; Chang CC; Tang JH; Kao WY; Su IC; Li CH; Chang WH; Huang CK; Sufriyana H; Su EC
    J Chin Med Assoc; 2021 Sep; 84(9):842-850. PubMed ID: 34282076
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Assessment of Deep Learning Methods for Differentiating Autoimmune Disorders in Ultrasound Images.
    Vasile CM; Udriştoiu AL; Ghenea AE; Padureanu V; Udriştoiu Ş; Gruionu LG; Gruionu G; Iacob AV; Popescu M
    Curr Health Sci J; 2021; 47(2):221-227. PubMed ID: 34765242
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Recognition of peripheral blood cell images using convolutional neural networks.
    Acevedo A; Alférez S; Merino A; Puigví L; Rodellar J
    Comput Methods Programs Biomed; 2019 Oct; 180():105020. PubMed ID: 31425939
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cascaded Deep Learning Neural Network for Automated Liver Steatosis Diagnosis Using Ultrasound Images.
    Rhyou SY; Yoo JC
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450746
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning methods in the diagnosis of sacroiliitis from plain pelvic radiographs.
    Üreten K; Maraş Y; Duran S; Gök K
    Mod Rheumatol; 2023 Jan; 33(1):202-206. PubMed ID: 34888699
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Diagnosis of Pediatric Pneumonia with Ensemble of Deep Convolutional Neural Networks in Chest X-Ray Images.
    Ayan E; Karabulut B; Ünver HM
    Arab J Sci Eng; 2022; 47(2):2123-2139. PubMed ID: 34540526
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm.
    Lee JH; Kim DH; Jeong SN; Choi SH
    J Dent; 2018 Oct; 77():106-111. PubMed ID: 30056118
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-Instance Classification of Breast Tumor Ultrasound Images Using Convolutional Neural Networks and Transfer Learning.
    Ciobotaru A; Bota MA; Goța DI; Miclea LC
    Bioengineering (Basel); 2023 Dec; 10(12):. PubMed ID: 38136010
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Fully automated detection of retinal disorders by image-based deep learning.
    Li F; Chen H; Liu Z; Zhang X; Wu Z
    Graefes Arch Clin Exp Ophthalmol; 2019 Mar; 257(3):495-505. PubMed ID: 30610422
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Implementation of Combinational Deep Learning Algorithm for Non-alcoholic Fatty Liver Classification in Ultrasound Images.
    Zamanian H; Mostaar A; Azadeh P; Ahmadi M
    J Biomed Phys Eng; 2021 Feb; 11(1):73-84. PubMed ID: 33564642
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Deep convolutional neural networks for automated scoring of pentagon copying test results.
    Maruta J; Uchida K; Kurozumi H; Nogi S; Akada S; Nakanishi A; Shinoda M; Shiba M; Inoue K
    Sci Rep; 2022 Jun; 12(1):9881. PubMed ID: 35701481
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Ultrasound identification of hepatic echinococcosis using a deep convolutional neural network model in China: a retrospective, large-scale, multicentre, diagnostic accuracy study.
    Yang Y; Cairang Y; Jiang T; Zhou J; Zhang L; Qi B; Ma S; Tang L; Xu D; Bu L; Bu R; Jing X; Wang H; Zhou Z; Zhao C; Luo B; Liu L; Guo J; Nima Y; Hua G; Wa Z; Zhang Y; Zhou G; Jiang W; Wang C; De Y; Yu X; Cheng Z; Han Z; Liu F; Dou J; Feng H; Wu C; Wang R; Hu J; Yang Q; Luo Y; Wu J; Fan H; Liang P; Yu J
    Lancet Digit Health; 2023 Aug; 5(8):e503-e514. PubMed ID: 37507196
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Classification of rotator cuff tears in ultrasound images using deep learning models.
    Ho TT; Kim GT; Kim T; Choi S; Park EK
    Med Biol Eng Comput; 2022 May; 60(5):1269-1278. PubMed ID: 35043367
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Comparison of Convolutional Neural Network Models for Determination of Vocal Fold Normality in Laryngoscopic Images.
    Cho WK; Choi SH
    J Voice; 2022 Sep; 36(5):590-598. PubMed ID: 32873430
    [TBL] [Abstract][Full Text] [Related]  

  • 19. A deep learning model for burn depth classification using ultrasound imaging.
    Lee S; Rahul ; Lukan J; Boyko T; Zelenova K; Makled B; Parsey C; Norfleet J; De S
    J Mech Behav Biomed Mater; 2022 Jan; 125():104930. PubMed ID: 34781225
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images.
    Brehar R; Mitrea DA; Vancea F; Marita T; Nedevschi S; Lupsor-Platon M; Rotaru M; Badea RI
    Sensors (Basel); 2020 May; 20(11):. PubMed ID: 32485986
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.