Paper Info
Title
A Dual-Attention Dilated Residual Network for Liver Lesion Classification and Localization on CT Images
Abstract
Automatic liver lesion classification on computed tomography images is of great importance to early cancer diagnosis and remains a challenging task. State-of-the-art liver lesion classification algorithms are currently based on manually selected regions of interest (ROIs) or automatically detected ROIs. However, liver lesions usually vary in size and shape, which makes the ROI selection process labor-intensive and also poses an obstacle to automatic lesion detection. In this paper, we propose a dual-attention dilated residual network (DADRN) as a potential solution to lesion classification task without manual ROI selection or automatic lesion detection. We incorporated a novel dual-attention module in order to capture the non-local feature dependencies and help the deep neural network focus on the lesion area by enlarging the difference between the lesion area and nonlesion area. To the best of our knowledge, we are the first to employ the self-attention mechanism to address liver lesion classification task. In addition, the well-trained DADRN can be used for weakly-supervised lesion localization without any architectural change or retraining. Experiment results show that DADRN could achieve a lesion classification accuracy comparable to that of the state-of-the-art ROI-based method and outperformed state-of-the-art attention-based approaches in both liver lesion classification and localization tasks.
Year
DOI
Venue
2019
10.1109/ICIP.2019.8803009
2019 IEEE International Conference on Image Processing (ICIP)
Keywords
DocType
ISSN
Dual-attention,dilated residual network,lesion classification,weakly-supervised localization
Conference
1522-4880
ISBN
Citations 
PageRank 
978-1-5386-6250-2
0
0.34
References 
Authors
10
10
Name
Order
Citations
PageRank
Xiao Chen101.35
Jian Wu220.71
Lanfen Lin348.67
Liang Dong432652.32
Hongjie Hu5119.50
Qiaowei Zhang662.85
Yutaro Iwamoto71317.95
Xian-Hua Han81410.19
Yen-Wei Chen9720155.73
Ruofeng Tong1046649.69