Semi-supervised labelling of the femur in a whole-body post-mortem CT database using deep learning.

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Bibliographic Details
Title: Semi-supervised labelling of the femur in a whole-body post-mortem CT database using deep learning.
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., Gillam J; Land Division, Defence Science and Technology Group, Fishermans Bend, Melbourne, VIC, 3207, Australia. Electronic address: john.gillam@gmail.com., Harris PC; The Royal Children's Hospital Melbourne, 50 Flemington Road, Parkville, Melbourne, VIC, 3052, Australia; Department of Orthopaedic Surgery, Western Health, Footscray Hospital, Gordon St, Footscray, Melbourne, VIC, 3011, Australia. Electronic address: chris.harris@rch.org.au., 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: Computers in biology and medicine [Comput Biol Med] 2020 Jul; Vol. 122, pp. 103797. Date of Electronic Publication: 2020 May 06.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2020.103797