Adaptive Localizing Region-Based Level Set for Segmentation of Maxillary Sinus Based on Convolutional Neural Networks

In this paper, we propose a novel method, an adaptive localizing region-based level set using convolutional neural network, for improving performance of maxillary sinus segmentation. The healthy sinus without lesion inside is easy for conventional algorithms. However, in practice, most of the cases...

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Auteurs principaux: Xianglong Qi, Jie Zhong, Shengjia Cui
Format: article
Langue:EN
Publié: Hindawi Limited 2021
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Accès en ligne:https://doaj.org/article/a797e0413dda4af3ad46ad964c2891ab
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