BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

170 related articles for article (PubMed ID: 35725702)

  • 1. Evaluation of Inspection Efficiency of Diatom Artificial Intelligence Search System Based on Scanning Electron Microscope.
    Yu DY; Liu JJ; Liu C; DU YK; Huang P; Zhang J; Yu WM; Hu YC; Zhao J; Cheng JD
    Fa Yi Xue Za Zhi; 2022 Feb; 38(1):40-45. PubMed ID: 35725702
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Construction and Application of YOLOv3-Based Diatom Identification Model of Scanning Electron Microscope Images.
    Chen J; Liu XR; Yang JW; Chen YQ; Wang C; Ou MY; Wu JY; Yu YJ; Li K; Chen P; Chen F
    Fa Yi Xue Za Zhi; 2022 Feb; 38(1):46-52. PubMed ID: 35725703
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Research Progress of Automatic Diatom Test by Artificial Intelligence.
    Zhu YZ; Zhang J; Cheng Q; Deng KF; Ma KJ; Zhang JH; Zhao J; Sun JH; Huang P; Qin ZQ
    Fa Yi Xue Za Zhi; 2022 Feb; 38(1):14-19. PubMed ID: 35725699
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of Artificial Intelligence Automatic Diatom Identification System in Practical Cases.
    Zhou YY; Cao YJ; Yang Y; Wang YL; Deng KF; Ma KJ; Chen YJ; Qin ZQ; Zhang JH; Huang P; Zhang J; Chen LQ
    Fa Yi Xue Za Zhi; 2020 Apr; 36(2):239-242. PubMed ID: 32530174
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Automated diatom searching in the digital scanning electron microscopy images of drowning cases using the deep neural networks.
    Yu W; Xue Y; Knoops R; Yu D; Balmashnova E; Kang X; Falgari P; Zheng D; Liu P; Chen H; Shi H; Liu C; Zhao J
    Int J Legal Med; 2021 Mar; 135(2):497-508. PubMed ID: 32789676
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Analysis of false-positive results of diatom test in the diagnosis of drowning-would not be an impediment.
    Shen X; Liu Y; Xiao C; Zheng C; Huang J; Shi H; Xu Q; Cheng J; Liu C; Zhao J
    Int J Legal Med; 2019 Nov; 133(6):1819-1824. PubMed ID: 30770988
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Digital whole-slide image analysis for automated diatom test in forensic cases of drowning using a convolutional neural network algorithm.
    Zhou Y; Zhang J; Huang J; Deng K; Zhang J; Qin Z; Wang Z; Zhang X; Tuo Y; Chen L; Chen Y; Huang P
    Forensic Sci Int; 2019 Sep; 302():109922. PubMed ID: 31442682
    [TBL] [Abstract][Full Text] [Related]  

  • 8. An improved automated diatom detection method based on YOLOv5 framework and its preliminary study for taxonomy recognition in the forensic diatom test.
    Yu W; Xiang Q; Hu Y; Du Y; Kang X; Zheng D; Shi H; Xu Q; Li Z; Niu Y; Liu C; Zhao J
    Front Microbiol; 2022; 13():963059. PubMed ID: 36060761
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A comparative assessment of time-consuming and laborious diatom analysis:Brief experimentation with suggestion of automatic identification.
    Wu Y; Luo L; Li Y; Sun Y; Huang X; Zhou Y; Wang Y; Wang Y; Zeng D; Yun L
    Forensic Sci Int; 2024 Feb; 355():111939. PubMed ID: 38246065
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The Diagnostic Value of Quantitative Assessment of Diatom Test for Drowning: An Analysis of 128 Water-related Death Cases using Microwave Digestion-Vacuum Filtration-Automated Scanning Electron Microscopy.
    Zhao J; Liu C; Bardeesi ASA; Wu Y; Ma Y; Hu S; Shi H; Cheng J
    J Forensic Sci; 2017 Nov; 62(6):1638-1642. PubMed ID: 28205216
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Application of Diatoms Quantitative Analysis in the Diagnosis of Drowning.
    DU YK; Zhang TY; Liu JJ; Liu C; Kang XD; Zheng DY; Shi H; Xu QY; Ma KJ; Zhao J
    Fa Yi Xue Za Zhi; 2022 Feb; 38(1):110-113. PubMed ID: 35725713
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Detection of diatoms in water and tissues by combination of microwave digestion, vacuum filtration and scanning electron microscopy.
    Hu S; Liu C; Wen J; Dai W; Wang S; Su H; Zhao J
    Forensic Sci Int; 2013 Mar; 226(1-3):e48-51. PubMed ID: 23374881
    [TBL] [Abstract][Full Text] [Related]  

  • 13. An efficient method for building a database of diatom populations for drowning site inference using a deep learning algorithm.
    Zhang J; Zhou Y; Vieira DN; Cao Y; Deng K; Cheng Q; Zhu Y; Zhang J; Qin Z; Ma K; Chen Y; Huang P
    Int J Legal Med; 2021 May; 135(3):817-827. PubMed ID: 33392655
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Comparison of Application of MD-VF-Auto SEM Method and Plankton Gene Multiplex PCR System in the Diagnosis of Drowning.
    Zhang JM; Lin TC; Liao ZY; DU YK; Yu ZH; Liu JJ; Wu SQ; Kang XD; Xu QY; Shi H; Zhao J; Liu C; Gu DE
    Fa Yi Xue Za Zhi; 2022 Feb; 38(1):114-118. PubMed ID: 35725714
    [TBL] [Abstract][Full Text] [Related]  

  • 15. DiatomNet v1.0: A novel approach for automatic diatom testing for drowning diagnosis in forensically biomedical application.
    Zhang J; Vieira DN; Cheng Q; Zhu Y; Deng K; Zhang J; Qin Z; Sun Q; Zhang T; Ma K; Zhang X; Huang P
    Comput Methods Programs Biomed; 2023 Apr; 232():107434. PubMed ID: 36871544
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The length and width of diatoms in drowning cases as the evidence of diatoms penetrating the alveoli-capillary barrier.
    Zhang P; Kang X; Zhang S; Xiao C; Ma Y; Shi H; Xu Q; Zhao J; Chen L; Liu C
    Int J Legal Med; 2020 May; 134(3):1037-1042. PubMed ID: 31637457
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparative study on diatom morphology and molecular identification in drowning cases.
    Liu M; Zhao Y; Sun Y; Li Y; Wu P; Zhou S; Ren L
    Forensic Sci Int; 2020 Dec; 317():110552. PubMed ID: 33147546
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A quantitative comparison analysis of diatoms in the lung tissues and the drowning medium as an indicator of drowning.
    Zhao J; Ma Y; Liu C; Wen J; Hu S; Shi H; Zhu L
    J Forensic Leg Med; 2016 Aug; 42():75-8. PubMed ID: 27266652
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Automatic detection and identification of diatoms in complex background for suspected drowning cases through object detection models.
    Tournois L; Hatsch D; Ludes B; Delabarde T
    Int J Legal Med; 2024 Mar; 138(2):659-670. PubMed ID: 37804333
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Comparison among Four Deep Learning Image Classification Algorithms in AI-based Diatom Test.
    Zhu YZ; Zhang J; Cheng Q; Yu HX; Deng KF; Zhang JH; Qin ZQ; Zhao J; Sun JH; Huang P
    Fa Yi Xue Za Zhi; 2022 Feb; 38(1):31-39. PubMed ID: 35725701
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.