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Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data.

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Title: Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data.
Authors: Wang, Hui‐Ju1, Maniscalco, Austen1, Sher, David1, Lin, Mu‐Han1, Jiang, Steve1, Nguyen, Dan1, Dan.Nguyen@UTSouthwestern.edu
Source: Journal of Applied Clinical Medical Physics; May2025, Vol. 26 Issue 5, p1-12, 12p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185030996
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Applied+Clinical+Medical+Physics%22">Journal of Applied Clinical Medical Physics</searchLink>; May2025, Vol. 26 Issue 5, p1-12, 12p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185030996
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      – Type: doi
        Value: 10.1002/acm2.70012
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      – Code: eng
        Text: English
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        PageCount: 12
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      – TitleFull: Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data.
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            NameFull: Wang, Hui‐Ju
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            NameFull: Maniscalco, Austen
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            NameFull: Sher, David
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            NameFull: Lin, Mu‐Han
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            NameFull: Jiang, Steve
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            – D: 01
              M: 05
              Text: May2025
              Type: published
              Y: 2025
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              Value: 26
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