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Automatic Heart Segmentation Based on Convolutional Networks Using Attention Mechanism by Guodong Zhang; Yu Liu; Wei Guo; Wenjun Tan; Zhaoxuan Gong; Muhammad Azaz Farooq is a scholarly article available to read on EtoBox.

What is Automatic Heart Segmentation Based on Convolutional Networks Using Attention Mechanism about?

Heart segmentation is challenging due to the poor image contrast of heart in the CT images. Since manual segmentation of the heart is tedious and time-consuming, we propose an attention based-Convolution Neural Network(CNN) for heart segmentation. First, one-hot preprocessing is performed on the multi-tissue CT images. U-Net network with Attentiongate is then applied to obtain the heart region. We compared our method with several CNN methods in terms of dice coefficient. Results show that our method outperforms other methods for segmentation.

Author

Guodong Zhang; Yu Liu; Wei Guo; Wenjun Tan; Zhaoxuan Gong; Muhammad Azaz Farooq

Published

2022

Language

EN