TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Boundary-Aware Dual Attention Guided Liver Segment Segmentation Model |
| 영문제목(English Title) |
Boundary-Aware Dual Attention Guided Liver Segment Segmentation Model |
| 저자(Author) |
Xibin Jia
Chen Qian
Zhenghan Yang
Hui Xu
Xianjun Han
Hao Ren
Xinru Wu
Boyang Ma
Dawei Yang
Hong Min
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| 원문수록처(Citation) |
VOL 15 NO. 12 PP. 0016 ~ 0037 (2021. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Accurate liver segment segmentation based on radiological images is indispensable for the preoperative analysis of liver tumor resection surgery. However, most of the existing segmentation methods are not feasible to be used directly for this task due to the challenge of exact edge prediction with some tiny and slender vessels as its clinical segmentation criterion. To address this problem, we propose a novel deep learning based segmentation model, called Boundary-Aware Dual Attention Liver Segment Segmentation Model (BADA). This model can improve the segmentation accuracy of liver segments with enhancing the edges including the vessels serving as segment boundaries. In our model, the dual gated attention is proposed, which composes of a spatial attention module and a semantic attention module. The spatial attention module enhances the weights of key edge regions by concerning about the salient intensity changes, while the semantic attention amplifies the contribution of filters that can extract more discriminative feature information by weighting the significant convolution channels. Simultaneously, we build a dataset of liver segments including 59 clinic cases with dynamically contrast enhanced MRI(Magnetic Resonance Imaging) of portal vein stage, which annotated by several professional radiologists. Comparing with several state-of-the-art methods and baseline segmentation methods, we achieve the best results on this clinic liver segment segmentation dataset, where Mean Dice, Mean Sensitivity and Mean Positive Predicted Value reach 89.01%, 87.71% and 90.67%, respectively. |
| 키워드(Keyword) |
Segmentation model
liver segment
attention mechanism
boundary-aware
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| 파일첨부 |
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