Right Ventricle Segmentation of Magnetic Resonance Image Using the Modified Convolutional Neural Network

被引：2
|
作者：
Dharwadkar, Nagaraj V. [1 ]
Savvashe, Amruta K. [1 ]
机构：
[1] Rajarambapu Inst Technol, Dept Comp Sci & Engn, Sangli 415414, Maharashtra, India
来源：
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING | 2021年 / 46卷 / 04期
关键词：
Right ventricle segmentation; Convolutional neural network; MRI segmentation; CARDIAC MRI;
D O I：
10.1007/s13369-020-05309-5
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
In this paper, the segmentation model is developed using the convolutional neural network for automatic segmentation of a right ventricle MRI image. The proposed model is trained end-to-end using an RVSC dataset that contains the right ventricle magnetic resonance images. The proposed model gives state-of-art achievement for dice metric and also for the Jaccard index. The proposed model achieves an optimal model performance of dice metric performance with 0.91 (0.10) for the training dataset and 0.88 (0.12) for the validation dataset.
引用
收藏
页码：3713 / 3722
页数：10
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