Liver Semantic Segmentation Algorithm Based on Improved Deep Adversarial Networks in Combination of Weighted Loss Function on Abdominal CT Images

Due to the space inconsistency between benchmark image and segmentation result in many existing semantic segmentation algorithms for abdominal CT images, an improved model based on the basic framework of DeepLab-v3 is proposed, and Pix2pix network is introduced as the generation adversarial model. O...

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Veröffentlicht in:	IEEE access Jg. 7; S. 96349 - 96358
Hauptverfasser:	Xia, Kaijian, Yin, Hongsheng, Qian, Pengjiang, Jiang, Yizhang, Wang, Shuihua
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Abdomen Algorithms atrous space pyramid pooling Cancer Computed tomography Convolution Entropy (Information theory) game adversarial generation adversarial networks Generative adversarial networks Generators Image segmentation Liver Model accuracy multi-scale features Semantic segmentation Semantics weighted loss function
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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