Artificial Intelligence in Forensic Science
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-28073-3_11
Reference16 articles.
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2. Qureshi, A.H., et al.: Deep CNN-based computer-aided diagnosis for drowning detection using post-mortem lungs CT images. In: 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 2309–2313 (2021). https://doi.org/10.1109/BIBM52615.2021.9669644
3. Hou, W., et al.: Exploring effective DNN models for forensic age estimation based on panoramic radiograph images. In: 2021 International Joint Conference on Neural Networks (IJCNN), pp. 1–8 (2021). https://doi.org/10.1109/IJCNN52387.2021.9533672
4. Štern, D., Payer, C., Giuliani, N., Urschler, M.: Automatic age estimation and majority age classification from multi-factorial MRI data. IEEE J. Biomed. Health Inform. 23(4), 1392–1403 (2019). https://doi.org/10.1109/JBHI.2018.2869606
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