Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology.
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| Title: | Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology. |
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| Authors: | MacDonald S; Max Kelsen, Brisbane, QLD, Australia.; ARC Training Centre for Information Resilience (CIRES), Brisbane, Australia.; The University of Queensland, Brisbane, Australia., Foley H; Max Kelsen, Brisbane, QLD, Australia., Yap M; Max Kelsen, Brisbane, QLD, Australia., Johnston RL; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia., Steven K; Max Kelsen, Brisbane, QLD, Australia., Koufariotis LT; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia., Sharma S; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.; ACL Pathology, Bella Vista, NSW, Australia., Wood S; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia., Addala V; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia., Pearson JV; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia., Roosta F; ARC Training Centre for Information Resilience (CIRES), Brisbane, Australia.; The University of Queensland, Brisbane, Australia., Waddell N; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia., Kondrashova O; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. olga.kondrashova@qimrberghofer.edu.au., Trzaskowski M; Max Kelsen, Brisbane, QLD, Australia. m.trzaskowski@uq.edu.au.; ARC Training Centre for Information Resilience (CIRES), Brisbane, Australia. m.trzaskowski@uq.edu.au.; The University of Queensland, Brisbane, Australia. m.trzaskowski@uq.edu.au.; QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia. m.trzaskowski@uq.edu.au. |
| Source: | Scientific reports [Sci Rep] 2023 May 06; Vol. 13 (1), pp. 7395. Date of Electronic Publication: 2023 May 06. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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