Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).

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Title: Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance).
Authors: Shenouda M; Department of Radiology, The University of Chicago, Chicago, IL, USA., Gudmundsson E; Icelandic Radiation Safety Office, Reykjavik, Iceland., Li F; Department of Radiology, The University of Chicago, Chicago, IL, USA., Straus CM; Department of Radiology, The University of Chicago, Chicago, IL, USA., Kindler HL; Department of Radiology, The University of Chicago, Chicago, IL, USA., Dudek AZ; Metro Minnesota Community Oncology Research Consortium, St. Louis Park, MN, USA., Stinchcombe T; Duke Cancer Institute, Duke University, Durham, NC, USA., Wang X; Alliance Statistics and Data Management Center, Duke University, Durham, NC, USA., Starkey A; Department of Radiology, The University of Chicago, Chicago, IL, USA., Armato SG 3rd; Department of Radiology, The University of Chicago, Chicago, IL, USA.
Source: ArXiv [ArXiv] 2023 Nov 30. Date of Electronic Publication: 2023 Nov 30.
Publication Type: Preprint; Journal Article
Journal Info: Country of Publication: United States NLM ID: 101759493 Publication Model: Electronic Cited Medium: Internet ISSN: 2331-8422 (Electronic) Linking ISSN: 23318422 NLM ISO Abbreviation: ArXiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2331-8422