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  • [\'School of Clinical Sciences, Queensland University of Technology, Gardens Point Campus, 2 George St, Brisbane 4000, QLD, Australia.\', \'School of Clinical Sciences, Queensland University of Technology, Gardens Point Campus, 2 George St, Brisbane 4000, QLD, Australia; Centre for Biomedical Technologies (CBT), Queensland University of Technology, Brisbane, Queensland, Australia.\', \'School of IT & Systems, Faculty of Science and Technology, University of Canberra, 11 Kirinari Street, Bruce 2617, ACT, Australia.\', \'Ultrasound Laboratory Trento, Department of Information Engineering and Computer Science, University of Trento, Italy.\', \'Department of Surgery (Royal Melbourne Hospital), University of Melbourne, Royal Parade, Parkville 3050, VIC, Australia.\', \'Department of Surgery (Royal Melbourne Hospital), University of Melbourne, Royal Parade, Parkville 3050, VIC, Australia; Outcomes Research Consortium, Cleveland Clinic, Cleveland, OH, USA.\', \'CSIRO Health and Biosecurity, The Australian eHealth Research Centre, Australia.\', \'School of Clinical Sciences, Queensland University of Technology, Gardens Point Campus, 2 George St, Brisbane 4000, QLD, Australia; Centre for Biomedical Technologies (CBT), Queensland University of Technology, Brisbane, Queensland, Australia. Electronic address: d3.fontanarosa@qut.edu.au.\']
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  • -1
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?:doi
?:doi
  • S1120-1797(21)00112-510.1016/j.ejmp.2021.02.023
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  • Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
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?:pmid
  • 33706149
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  • -1.0
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  • -1
?:title
  • Automatic deep learning-based pleural effusion classification in lung ultrasound images for respiratory pathology diagnosis.
?:type
?:year
  • 2021

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