Fully automatic segmentation on prostate MR images based on cascaded fully convolution network

Background Computer‐aided diagnosis (CAD) can aid radiologists in quantifying prostate cancer, and MRI segmentation plays an essential role in CAD applications. Clinical experience shows that prostate cancer occurs predominantly in the peripheral zone (PZ) and there exist different evaluation criter...

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Vydané v:	Journal of magnetic resonance imaging Ročník 49; číslo 4; s. 1149 - 1156
Hlavní autori:	Zhu, Yi, Wei, Rong, Gao, Ge, Ding, Lian, Zhang, Xiaodong, Wang, Xiaoying, Zhang, Jue
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Wiley Subscription Services, Inc 01.04.2019
Predmet:	Algorithms Cancer cascaded fully convolutional network Contours Convolution Field strength fully automatic segmentation Image processing Image segmentation Magnetic resonance imaging Medical imaging Population (statistical) Prostate cancer prostatic peripheral zone Shape Statistical analysis Statistical tests the ROI of prostate prostatic peripheral zone fully automatic segmentation the ROI of prostate cascaded fully convolutional network
ISSN:	1053-1807, 1522-2586, 1522-2586
On-line prístup:	Získať plný text
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