Enhanced thyroid nodule detection and diagnosis: a mobile-optimized DeepLabV3+ approach for clinical deployments

ObjectiveThis study aims to enhance the efficiency and accuracy of thyroid nodule segmentation in ultrasound images, ultimately improving nodule detection and diagnosis. For clinical deployment on mobile and embedded devices, DeepLabV3+ strives to achieve a balance between a lightweight architecture...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Frontiers Media S.A. 2025-03-01
Schriftenreihe:	Frontiers in Physiology
Schlagworte:	DeepLabV3+ thyroid nodule segmentation ultrasound imaging MobileNetV2 attention mechanisms Tversky loss function
Online-Zugang:	https://www.frontiersin.org/articles/10.3389/fphys.2025.1457197/full
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