Findings from machine learning in clinical medical imaging applications – Lessons for translation to the forensic setting

Machine learning (ML) techniques are increasingly being used in clinical medical imaging to automate distinct processing tasks. In post-mortem forensic radiology, the use of these algorithms presents significant challenges due to variability in organ position, structural changes from decomposition,...

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Detalles Bibliográficos
Autores principales: Peña-Solórzano, Carlos A., Albrecht, David W., Bassed, Richard B., Burke, Michael D., Dimmock, Matthew R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568766/
https://www.ncbi.nlm.nih.gov/pubmed/33120319
http://dx.doi.org/10.1016/j.forsciint.2020.110538

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7568766/
https://www.ncbi.nlm.nih.gov/pubmed/33120319
http://dx.doi.org/10.1016/j.forsciint.2020.110538

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