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Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection.

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Title: Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection.
Authors: Peeters D; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands. Electronic address: dre.peeters@radboudumc.nl., Venkadesh KV; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands., Dinnessen R; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands., Saghir Z; Department of Medicine, Section of Pulmonary Medicine, Herlev-Gentofte Hospital, Hellerup, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark., Scholten ET; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands., Vliegenthart R; Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, the Netherlands., Prokop M; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands; Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, the Netherlands., Jacobs C; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Mar; Vol. 186, pp. 109633. Date of Electronic Publication: 2024 Dec 30.
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
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  Data: Towards safe and reliable deep learning for lung nodule malignancy estimation using out-of-distribution detection.
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  Data: <searchLink fieldCode="AU" term="%22Peeters+D%22">Peeters D</searchLink>; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands. Electronic address: dre.peeters@radboudumc.nl.<br /><searchLink fieldCode="AU" term="%22Venkadesh+KV%22">Venkadesh KV</searchLink>; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Dinnessen+R%22">Dinnessen R</searchLink>; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Saghir+Z%22">Saghir Z</searchLink>; Department of Medicine, Section of Pulmonary Medicine, Herlev-Gentofte Hospital, Hellerup, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.<br /><searchLink fieldCode="AU" term="%22Scholten+ET%22">Scholten ET</searchLink>; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Vliegenthart+R%22">Vliegenthart R</searchLink>; Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Prokop+M%22">Prokop M</searchLink>; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands; Department of Radiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, 9700RB, Groningen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Jacobs+C%22">Jacobs C</searchLink>; Diagnostic Imaging Analysis Group, Medical Imaging Department, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, the Netherlands.
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              Text: 2025 Mar
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