Dynamic Perfusion Representation and Aggregation Network for Nodule Segmentation Using Contrast-Enhanced US

Author:

Wan Peng1ORCID,Xue Haiyan2,Liu Chunrui2ORCID,Chen Fang1ORCID,Kong Wentao2,Zhang Daoqiang1ORCID

Affiliation:

1. College of Computer Science and Technology, MIIT Key Laboratory of Pattern Analysis and Machine Intelligence, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Department of Ultrasound, Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Ministry of Science and Technology of China

Key Research and Development Plan of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Reference52 articles.

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2. Fast segmentation of focal liver lesions in contrast-enhanced ultrasound data;bakas;Proc Med Image Understanding Anal - 18th Annu Conf,0

3. Automatic Identification and Localisation of Potential Malignancies in Contrast-Enhanced Ultrasound Liver Scans Using Spatio-Temporal Features

4. Fast CEUS image segmentation based on self organizing maps;paire;SPIE,2014

5. Co-Learning Feature Fusion Maps From PET-CT Images of Lung Cancer

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