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 *

267 related articles for article (PubMed ID: 35655825)

  • 1. Current development and prospects of deep learning in spine image analysis: a literature review.
    Qu B; Cao J; Qian C; Wu J; Lin J; Wang L; Ou-Yang L; Chen Y; Yan L; Hong Q; Zheng G; Qu X
    Quant Imaging Med Surg; 2022 Jun; 12(6):3454-3479. PubMed ID: 35655825
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A narrative review of deep learning in thyroid imaging: current progress and future prospects.
    Yang WT; Ma BY; Chen Y
    Quant Imaging Med Surg; 2024 Feb; 14(2):2069-2088. PubMed ID: 38415152
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multi-modal tumor segmentation methods based on deep learning: a narrative review.
    Xue H; Yao Y; Teng Y
    Quant Imaging Med Surg; 2024 Jan; 14(1):1122-1140. PubMed ID: 38223046
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications.
    Constant C; Aubin CE; Kremers HM; Garcia DVV; Wyles CC; Rouzrokh P; Larson AN
    N Am Spine Soc J; 2023 Sep; 15():100236. PubMed ID: 37599816
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Progress on deep learning in digital pathology of breast cancer: a narrative review.
    Zhu J; Liu M; Li X
    Gland Surg; 2022 Apr; 11(4):751-766. PubMed ID: 35531111
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Current Applications of Machine Learning in Spine: From Clinical View.
    Ren G; Yu K; Xie Z; Wang P; Zhang W; Huang Y; Wang Y; Wu X
    Global Spine J; 2022 Oct; 12(8):1827-1840. PubMed ID: 34628966
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Biomedical application of terahertz imaging technology: a narrative review.
    Cong M; Li W; Liu Y; Bi J; Wang X; Yang X; Zhang Z; Zhang X; Zhao YN; Zhao R; Qiu J
    Quant Imaging Med Surg; 2023 Dec; 13(12):8768-8786. PubMed ID: 38106329
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning in structural and functional lung image analysis.
    Astley JR; Wild JM; Tahir BA
    Br J Radiol; 2022 Apr; 95(1132):20201107. PubMed ID: 33877878
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Accuracy of Using Generative Adversarial Networks for Glaucoma Detection: Systematic Review and Bibliometric Analysis.
    Saeed AQ; Sheikh Abdullah SNH; Che-Hamzah J; Abdul Ghani AT
    J Med Internet Res; 2021 Sep; 23(9):e27414. PubMed ID: 34236992
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Intraoperative surgery room management: A deep learning perspective.
    Tanzi L; Piazzolla P; Vezzetti E
    Int J Med Robot; 2020 Oct; 16(5):1-12. PubMed ID: 32510857
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Artificial Intelligence Versus Clinicians in Disease Diagnosis: Systematic Review.
    Shen J; Zhang CJP; Jiang B; Chen J; Song J; Liu Z; He Z; Wong SY; Fang PH; Ming WK
    JMIR Med Inform; 2019 Aug; 7(3):e10010. PubMed ID: 31420959
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep learning-based facial image analysis in medical research: a systematic review protocol.
    Su Z; Liang B; Shi F; Gelfond J; Šegalo S; Wang J; Jia P; Hao X
    BMJ Open; 2021 Nov; 11(11):e047549. PubMed ID: 34764164
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning-based automatic segmentation of images in cardiac radiography: A promising challenge.
    Song Y; Ren S; Lu Y; Fu X; Wong KKL
    Comput Methods Programs Biomed; 2022 Jun; 220():106821. PubMed ID: 35487181
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Feasibility of Deep Learning Algorithms for Reporting in Routine Spine Magnetic Resonance Imaging.
    LewandrowskI KU; Muraleedharan N; Eddy SA; Sobti V; Reece BD; Ramírez León JF; Shah S
    Int J Spine Surg; 2020 Dec; 14(s3):S86-S97. PubMed ID: 33298549
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review.
    Mondal MRH; Bharati S; Podder P
    Curr Med Imaging; 2021; 17(12):1403-1418. PubMed ID: 34259149
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Beyond the black stump: rapid reviews of health research issues affecting regional, rural and remote Australia.
    Osborne SR; Alston LV; Bolton KA; Whelan J; Reeve E; Wong Shee A; Browne J; Walker T; Versace VL; Allender S; Nichols M; Backholer K; Goodwin N; Lewis S; Dalton H; Prael G; Curtin M; Brooks R; Verdon S; Crockett J; Hodgins G; Walsh S; Lyle DM; Thompson SC; Browne LJ; Knight S; Pit SW; Jones M; Gillam MH; Leach MJ; Gonzalez-Chica DA; Muyambi K; Eshetie T; Tran K; May E; Lieschke G; Parker V; Smith A; Hayes C; Dunlop AJ; Rajappa H; White R; Oakley P; Holliday S
    Med J Aust; 2020 Dec; 213 Suppl 11():S3-S32.e1. PubMed ID: 33314144
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Sequential conditional reinforcement learning for simultaneous vertebral body detection and segmentation with modeling the spine anatomy.
    Zhang D; Chen B; Li S
    Med Image Anal; 2021 Jan; 67():101861. PubMed ID: 33075640
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep Learning: A Review for the Radiation Oncologist.
    Boldrini L; Bibault JE; Masciocchi C; Shen Y; Bittner MI
    Front Oncol; 2019; 9():977. PubMed ID: 31632910
    [No Abstract]   [Full Text] [Related]  

  • 20. Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes.
    Woldaregay AZ; Årsand E; Walderhaug S; Albers D; Mamykina L; Botsis T; Hartvigsen G
    Artif Intell Med; 2019 Jul; 98():109-134. PubMed ID: 31383477
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.