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

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Bibliographic Details
Title: Findings from machine learning in clinical medical imaging applications - Lessons for translation to the forensic setting.
Authors: Peña-Solórzano CA; Department of Medical Imaging and Radiation Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia. Electronic address: carlos.penasolorzano@monash.edu., Albrecht DW; Clayton School of Information Technology, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia. Electronic address: david.albrecht@monash.edu., Bassed RB; Victorian Institute of Forensic Medicine, 57-83 Kavanagh St., Southbank, Melbourne, VIC 3006, Australia; Department of Forensic Medicine, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia. Electronic address: richard.bassed@vifm.org., Burke MD; Victorian Institute of Forensic Medicine, 57-83 Kavanagh St., Southbank, Melbourne, VIC 3006, Australia; Department of Forensic Medicine, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia. Electronic address: michael.burke@vifm.org., Dimmock MR; Department of Medical Imaging and Radiation Sciences, Monash University, Wellington Rd, Clayton, Melbourne, VIC 3800, Australia. Electronic address: matthew.dimmock@monash.edu.
Source: Forensic science international [Forensic Sci Int] 2020 Nov; Vol. 316, pp. 110538. Date of Electronic Publication: 2020 Oct 18.
Publication Type: Journal Article; Review
Journal Info: Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci Int Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-6283
DOI:10.1016/j.forsciint.2020.110538