Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma-Reference-Cited by-同舟云学术

Prior Knowledge-Aware Fusion Network for Prediction of Macrovascular Invasion in Hepatocellular Carcinoma

Published:2022-10 Issue:10 Volume:41 Page:2644-2657
ISSN:0278-0062
Container-title:IEEE Transactions on Medical Imaging
language:
Short-container-title:IEEE Trans. Med. Imaging

Author:

Lai Haoran¹,Fu Sirui²,Zhang Jie³,Cao Jianyun¹,Feng Qianjin²,Lu Ligong²,Huang Meiyan¹^ORCID

Affiliation:

1. School of Biomedical Engineering, the Guangdong Provincial Key Laboratory of Medical Image Processing, and the Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, China

2. Zhuhai Interventional Medical Centre, Zhuhai People’s Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China

3. Department of Radiology, Zhuhai People’s Hospital (Zhuhai Hospital Affiliated with Jinan University), Zhuhai, China

Funder

National Natural Science Foundation of China

Science and Technology Planning Project of Guangzhou

Basic and Applied Basic Research Foundation of Guangdong Province

National Key Research and Development Program of China

Nurture Program of Zhuhai People’s Hospital

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Link

http://xplorestaging.ieee.org/ielx7/42/9906463/09758737.pdf?arnumber=9758737

Reference47 articles.

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4. CT and MR Imaging Diagnosis and Staging of Hepatocellular Carcinoma: Part II. Extracellular Agents, Hepatobiliary Agents, and Ancillary Imaging Features

5. nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

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