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Comparative parotid gland segmentation by using ResNet‐18 and MobileNetV2 based DeepLab v3+ architectures from magnetic resonance images.

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Title: Comparative parotid gland segmentation by using ResNet‐18 and MobileNetV2 based DeepLab v3+ architectures from magnetic resonance images.
Authors: Sunnetci, Kubilay Muhammed1,2, Kaba, Esat3, Beyazal Çeliker, Fatma3, Alkan, Ahmet2, aalkan@ksu.edu.tr
Source: Concurrency & Computation: Practice & Experience; Jan2023, Vol. 35 Issue 1, p1-14, 14p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 160717367
AccessLevel: 2
PubType: Academic Journal
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      – Type: doi
        Value: 10.1002/cpe.7405
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      – Code: eng
        Text: English
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        PageCount: 14
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      – TitleFull: Comparative parotid gland segmentation by using ResNet‐18 and MobileNetV2 based DeepLab v3+ architectures from magnetic resonance images.
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            NameFull: Sunnetci, Kubilay Muhammed
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            NameFull: Kaba, Esat
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            NameFull: Beyazal Çeliker, Fatma
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              Text: Jan2023
              Type: published
              Y: 2023
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              Value: 35
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