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 *

159 related articles for article (PubMed ID: 34004002)

  • 21. Automatic Classification of Hepatic Cystic Echinococcosis Using Ultrasound Images and Deep Learning.
    Wu M; Yan C; Wang X; Liu Q; Liu Z; Song T
    J Ultrasound Med; 2022 Jan; 41(1):163-174. PubMed ID: 33710638
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Fundamentals of artificial intelligence for ophthalmologists.
    Ahmad BU; Kim JE; Rahimy E
    Curr Opin Ophthalmol; 2020 Sep; 31(5):303-311. PubMed ID: 32740061
    [TBL] [Abstract][Full Text] [Related]  

  • 23. A Deep Learning Model for Automated Sub-Basal Corneal Nerve Segmentation and Evaluation Using In Vivo Confocal Microscopy.
    Wei S; Shi F; Wang Y; Chou Y; Li X
    Transl Vis Sci Technol; 2020 Jun; 9(2):32. PubMed ID: 32832205
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. Test characteristics of point-of-care ultrasonography for the diagnosis of acute posterior ocular pathology.
    Woo MY; Hecht N; Hurley B; Stitt D; Thiruganasambandamoorthy V
    Can J Ophthalmol; 2016 Oct; 51(5):336-341. PubMed ID: 27769323
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Building an Otoscopic screening prototype tool using deep learning.
    Livingstone D; Talai AS; Chau J; Forkert ND
    J Otolaryngol Head Neck Surg; 2019 Nov; 48(1):66. PubMed ID: 31771647
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Imbalanced Loss-Integrated Deep-Learning-Based Ultrasound Image Analysis for Diagnosis of Rotator-Cuff Tear.
    Lee K; Kim JY; Lee MH; Choi CH; Hwang JY
    Sensors (Basel); 2021 Mar; 21(6):. PubMed ID: 33809972
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Accurate and robust deep learning-based segmentation of the prostate clinical target volume in ultrasound images.
    Karimi D; Zeng Q; Mathur P; Avinash A; Mahdavi S; Spadinger I; Abolmaesumi P; Salcudean SE
    Med Image Anal; 2019 Oct; 57():186-196. PubMed ID: 31325722
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet.
    Bien N; Rajpurkar P; Ball RL; Irvin J; Park A; Jones E; Bereket M; Patel BN; Yeom KW; Shpanskaya K; Halabi S; Zucker E; Fanton G; Amanatullah DF; Beaulieu CF; Riley GM; Stewart RJ; Blankenberg FG; Larson DB; Jones RH; Langlotz CP; Ng AY; Lungren MP
    PLoS Med; 2018 Nov; 15(11):e1002699. PubMed ID: 30481176
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Are All Deep Learning Architectures Alike for Point-of-Care Ultrasound?: Evidence From a Cardiac Image Classification Model Suggests Otherwise.
    Blaivas M; Blaivas L
    J Ultrasound Med; 2020 Jun; 39(6):1187-1194. PubMed ID: 31872477
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A real-time system using deep learning to detect and track ureteral orifices during urinary endoscopy.
    Liu D; Peng X; Liu X; Li Y; Bao Y; Xu J; Bian X; Xue W; Qian D
    Comput Biol Med; 2021 Jan; 128():104104. PubMed ID: 33220590
    [TBL] [Abstract][Full Text] [Related]  

  • 32. 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]  

  • 33. Thyroid nodule recognition using a joint convolutional neural network with information fusion of ultrasound images and radiofrequency data.
    Liu Z; Zhong S; Liu Q; Xie C; Dai Y; Peng C; Chen X; Zou R
    Eur Radiol; 2021 Jul; 31(7):5001-5011. PubMed ID: 33409774
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images.
    Li Z; Guo C; Nie D; Lin D; Zhu Y; Chen C; Xiang Y; Xu F; Jin C; Zhang X; Yang Y; Zhang K; Zhao L; Zhang P; Han Y; Yun D; Wu X; Yan P; Lin H
    Transl Vis Sci Technol; 2020 Jan; 9(2):3. PubMed ID: 32518708
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Generative approach for data augmentation for deep learning-based bone surface segmentation from ultrasound images.
    Zaman A; Park SH; Bang H; Park CW; Park I; Joung S
    Int J Comput Assist Radiol Surg; 2020 Jun; 15(6):931-941. PubMed ID: 32399586
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images.
    Cheng PM; Malhi HS
    J Digit Imaging; 2017 Apr; 30(2):234-243. PubMed ID: 27896451
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.
    Al-Antari MA; Al-Masni MA; Choi MT; Han SM; Kim TS
    Int J Med Inform; 2018 Sep; 117():44-54. PubMed ID: 30032964
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques.
    Yu F; Silva Croso G; Kim TS; Song Z; Parker F; Hager GD; Reiter A; Vedula SS; Ali H; Sikder S
    JAMA Netw Open; 2019 Apr; 2(4):e191860. PubMed ID: 30951163
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Cascaded one-shot deformable convolutional neural networks: Developing a deep learning model for respiratory motion estimation in ultrasound sequences.
    Liu F; Liu D; Tian J; Xie X; Yang X; Wang K
    Med Image Anal; 2020 Oct; 65():101793. PubMed ID: 32712521
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Deep learning for liver tumor diagnosis part I: development of a convolutional neural network classifier for multi-phasic MRI.
    Hamm CA; Wang CJ; Savic LJ; Ferrante M; Schobert I; Schlachter T; Lin M; Duncan JS; Weinreb JC; Chapiro J; Letzen B
    Eur Radiol; 2019 Jul; 29(7):3338-3347. PubMed ID: 31016442
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.