140 related articles for article (PubMed ID: 37804333)
1. 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]
2. 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]
3. Simple protocol for extracting diatoms from lung tissues of suspected drowning cases within 3h: First practical application.
Kakizaki E; Yukawa N
Forensic Sci Int; 2015 Jun; 251():179-85. PubMed ID: 25911496
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. 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]
7. Continuous river monitoring of the diatoms in the diagnosis of drowning.
Ludes B; Coste M; Tracqui A; Mangin P
J Forensic Sci; 1996 May; 41(3):425-8. PubMed ID: 8656181
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. 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]
10. Detection of diatom in formalin-fixed tissue by proteinase K digestion.
Takeichi T; Kitamura O
Forensic Sci Int; 2009 Sep; 190(1-3):19-23. PubMed ID: 19520528
[TBL] [Abstract][Full Text] [Related]
11. The development and application of a diatom-based quantitative reconstruction technique in forensic science.
Horton BP; Boreham S; Hillier C
J Forensic Sci; 2006 May; 51(3):643-50. PubMed ID: 16696714
[TBL] [Abstract][Full Text] [Related]
12. Detection of Diatoms by a Combination of Membrane Filtration and Transparentness
Zhao J; Wang Y; Liu C; Hu S; Shi H; Wen J
J Forensic Sci; 2016 Nov; 61(6):1643-1646. PubMed ID: 27507158
[TBL] [Abstract][Full Text] [Related]
13. Development of 18S rRNA gene arrays for forensic detection of diatoms.
Jiang L; Xiao C; Zhao J; Jiang T; Lin J; Xu Q; Liu C; Cai W
Forensic Sci Int; 2020 Dec; 317():110482. PubMed ID: 33142211
[TBL] [Abstract][Full Text] [Related]
14. Contribution to the determination of the place of death by drowning - A study of diatoms' biodiversity in Douro river estuary.
Coelho S; Ramos P; Ribeiro C; Marques J; Santos A
J Forensic Leg Med; 2016 Jul; 41():58-64. PubMed ID: 27131038
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. [Comparative analysis between diatom nitric acid digestion method and plankton 16S rDNA PCR method].
Han JG; Wang CB; Li XB; Fan YY; Feng XP
Fa Yi Xue Za Zhi; 2013 Oct; 29(5):356-9. PubMed ID: 24466776
[TBL] [Abstract][Full Text] [Related]
17. The diagnosis of drowning by quantitative and qualitative diatom analysis.
Pachar JV; Cameron JM
Med Sci Law; 1993 Oct; 33(4):291-9. PubMed ID: 8264360
[TBL] [Abstract][Full Text] [Related]
18. A new enzymatic method for extracting diatoms from organs of suspected drowning cases using papain: Optimal digestion and first practical application.
Kakizaki E; Sonoda A; Shinkawa N; Yukawa N
Forensic Sci Int; 2019 Apr; 297():204-216. PubMed ID: 30831412
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 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]
[Next] [New Search]