SCUNet++: Swin-UNet and CNN Bottleneck Hybrid Architecture with Multi-Fusion Dense Skip Connection for Pulmonary Embolism CT Image Segmentation*
Author:
Affiliation:
1. Hangzhou Dianzi University
2. Second Affiliated Hospital of the Chinese University of Hong Kong
3. Shenzhen Research Institute of Big Data
Funder
Natural Science Foundation of Zhejiang Province
National Natural Science Foundation of China
Zhejiang University
Hangzhou Dianzi University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10483279/10483282/10484243.pdf?arnumber=10484243
Reference20 articles.
1. Computer-aided detection of pulmonary embolism at CT pulmonary angiography: can it improve performance of inexperienced readers?
2. Clinical Evaluation of a Computer-Aided Diagnosis (CAD) Prototype for the Detection of Pulmonary Embolism
3. Research on image segmentation based on threshold value method and regional growth method [j];Yi;Electronic Test,2012
4. Automatic ct image segmentation of the lungs with region growing algorithm;Mesanovic
5. A Method to Differentiate Mild Cognitive Impairment and Alzheimer in MR Images using Eigen Value Descriptors
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