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 *

142 related articles for article (PubMed ID: 35647808)

  • 1. Intelligent nanoscope for rapid nanomaterial identification and classification.
    Jin G; Hong S; Rich J; Xia J; Kim K; You L; Zhao C; Huang TJ
    Lab Chip; 2022 Aug; 22(16):2978-2985. PubMed ID: 35647808
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An acoustofluidic scanning nanoscope using enhanced image stacking and processing.
    Jin G; Rich J; Xia J; He AJ; Zhao C; Huang TJ
    Microsyst Nanoeng; 2022; 8():81. PubMed ID: 35846176
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Optical virtual imaging at 50 nm lateral resolution with a white-light nanoscope.
    Wang Z; Guo W; Li L; Luk'yanchuk B; Khan A; Liu Z; Chen Z; Hong M
    Nat Commun; 2011; 2():218. PubMed ID: 21364557
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Plankton classification with high-throughput submersible holographic microscopy and transfer learning.
    MacNeil L; Missan S; Luo J; Trappenberg T; LaRoche J
    BMC Ecol Evol; 2021 Jun; 21(1):123. PubMed ID: 34134620
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Acoustofluidic Scanning Nanoscope with High Resolution and Large Field of View.
    Jin G; Bachman H; Naquin TD; Rufo J; Hou S; Tian Z; Zhao C; Huang TJ
    ACS Nano; 2020 Jul; 14(7):8624-8633. PubMed ID: 32574033
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Convolution Neural Network for Malignancy Detection and Classification in Microscopic Uterine Cervix Cell Images.
    P B S; Faruqi F; K S H; Kudva R
    Asian Pac J Cancer Prev; 2019 Nov; 20(11):3447-3456. PubMed ID: 31759371
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Addressing the imaging limitations of a microsphere-assisted nanoscope.
    Zhai C; Hong Y; Lin Z; Chen Y; Guo M; Guo T; Wang H; Hu C
    Opt Express; 2022 Oct; 30(22):39417-39430. PubMed ID: 36298895
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dynamic nano-imaging
    Wu G; Ng SWL; Zhou Y; Hong M
    Lab Chip; 2023 Jun; 23(13):3070-3079. PubMed ID: 37287339
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Acoustofluidic scanning fluorescence nanoscopy with large field of view.
    Jin G; Rich J; Xia J; Upreti N; Zhao C; Huang TJ
    Res Sq; 2023 Jun; ():. PubMed ID: 37461478
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Perception without preconception: comparison between the human and machine learner in recognition of tissues from histological sections.
    Barui S; Sanyal P; Rajmohan KS; Malik A; Dudani S
    Sci Rep; 2022 Sep; 12(1):16420. PubMed ID: 36180472
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Highly Efficient and Accurate Deep Learning-Based Classification of MRI Contrast on a CPU and GPU.
    Gai ND
    J Digit Imaging; 2022 Jun; 35(3):482-495. PubMed ID: 35138509
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A survey on applications of deep learning in microscopy image analysis.
    Liu Z; Jin L; Chen J; Fang Q; Ablameyko S; Yin Z; Xu Y
    Comput Biol Med; 2021 Jul; 134():104523. PubMed ID: 34091383
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Small training dataset convolutional neural networks for application-specific super-resolution microscopy.
    Mannam V; Howard S
    J Biomed Opt; 2023 Mar; 28(3):036501. PubMed ID: 36925620
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Synthetic Micrographs of Bacteria (SyMBac) allows accurate segmentation of bacterial cells using deep neural networks.
    Hardo G; Noka M; Bakshi S
    BMC Biol; 2022 Nov; 20(1):263. PubMed ID: 36447211
    [TBL] [Abstract][Full Text] [Related]  

  • 15. High-resolution cost-effective compact portable inverted light microscope.
    Purwar P; Han S; Lee Y; Saha B; Sandhan T; Lee J
    J Microsc; 2019 Mar; 273(3):199-209. PubMed ID: 30561003
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images.
    Hu W; Zhang Y; Li L
    Sensors (Basel); 2019 Aug; 19(16):. PubMed ID: 31426516
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Pattern Recognition of Spiking Neural Networks Based on Visual Mechanism and Supervised Synaptic Learning.
    Li X; Yi H; Luo S
    Neural Plast; 2020; 2020():8851351. PubMed ID: 33193755
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Application of machine learning classifiers to X-ray diffraction imaging with medically relevant phantoms.
    Stryker S; Kapadia AJ; Greenberg JA
    Med Phys; 2022 Jan; 49(1):532-546. PubMed ID: 34799852
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Microsphere-based super-resolution scanning optical microscope.
    Huszka G; Yang H; Gijs MAM
    Opt Express; 2017 Jun; 25(13):15079-15092. PubMed ID: 28788940
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bi-channel image registration and deep-learning segmentation (BIRDS) for efficient, versatile 3D mapping of mouse brain.
    Wang X; Zeng W; Yang X; Zhang Y; Fang C; Zeng S; Han Y; Fei P
    Elife; 2021 Jan; 10():. PubMed ID: 33459255
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.