PSP net-based automatic segmentation network model for prostate magnetic resonance imaging

•The CLAHE algorithm is used to enhance the data set.•A prostate MRI segmentation model based on PSP Net is proposed.•PSP Net model compares segmentation accuracy with FCN and U-Net.•PSP Net has the highest segmentation accuracy rate of 0.9865.•The AUC of PSP Net is 0.9427 and the ROC curve is close...

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Veröffentlicht in:	Computer methods and programs in biomedicine 2021-08, Vol.207, p.106211-106211, Article 106211
Hauptverfasser:	Yan, Lingfei, Liu, Dawei, Xiang, Qi, Luo, Yang, Wang, Tao, Wu, Dali, Chen, Haiping, Zhang, Yu, Li, Qing
Format:	Artikel
Sprache:	eng
Schlagworte:	Convolutional neural network Image enhancement Magnetic resonance imaging Prostate cancer PSP Net
Online-Zugang:	Volltext
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