Comparative parotid gland segmentation by using <scp>ResNet</scp> ‐18 and <scp>MobileNetV2</scp> based <scp>DeepLab</scp> v3+ architectures from magnetic resonance images-Reference-Cited by-同舟云学术

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

Published:2022-10-17 Issue:1 Volume:35 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Sunnetci Kubilay Muhammed¹²^ORCID,Kaba Esat³^ORCID,Beyazal Çeliker Fatma³^ORCID,Alkan Ahmet²^ORCID

Affiliation:

1. Department of Electrical and Electronics Engineering Osmaniye Korkut Ata University Osmaniye Turkey

2. Department of Electrical and Electronics Engineering Kahramanmaraş Sütçü İmam University Kahramanmaraş Turkey

3. Department of Radiology Recep Tayyip Erdogan University Rize Turkey

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7405

Reference39 articles.

1. Anatomy, Biogenesis and Regeneration of Salivary Glands

2. Global cancer statistics, 2012

3. Estimating the demand for radiotherapy from the evidence: A review of changes from 2003 to 2012

4. Measurement of pain-like response to various NICU stimulants for high-risk infants

5. Atlas-based Auto-segmentation of CT Images in Head and Neck Cancer: What is the Best Approach?

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