Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma-Reference-Cited by-同舟云学术

Reler: Relearning Controversial Regions to Accurately Segment Nasopharyngeal Carcinoma

Published:2022-12-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Tao Guihua¹,Li Haojiang²,Lu Dandan¹,Ling Ziqin¹,Liu Lizhi²,Cai Hongmin¹

Affiliation:

1. South China University of Technology,School of Computer Science and Engineering,Guangzhou,China

2. Sun Yat-sen University Cancer Center, Sun Yat-sen University,State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy,Guangzhou,China

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9994793/9994847/09995288.pdf?arnumber=9995288

Reference31 articles.

1. Exome and genome sequencing of nasopharynx cancer identifies NF-κB pathway activating mutations

2. Incidence and Mortality of Nasopharynx Cancer and Its Relationship With Human Development Index in the World in 2012

3. Nasopharyngeal carcinoma

4. DA-DSUnet: Dual Attention-based Dense SU-net for automatic head-and-neck tumor segmentation in MRI images

5. Incorporating Discrete Wavelet Transformation Decomposition Convolution into Deep Network to Achieve Light Training

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