An Artificial Intelligence-Based Segmentation Auxiliary Diagnostic System for Focal Liver Lesions
Author:
Affiliation:
1. Zhejiang University,Zhejiang Provincial Key Laboratory of Service Robot College of Computer Science,Hangzhou,China
2. Zhejiang University,School of Software Technology,Hangzhou,China
Funder
Research and Development
Science and Technology Innovation 2025 Major Project of Ningbo
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10659854/10659821/10659827.pdf?arnumber=10659827
Reference16 articles.
1. Cancer statistics for the year 2020: An overview
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3. Modified U-Net (mU-Net) With Incorporation of Object-Dependent High Level Features for Improved Liver and Liver-Tumor Segmentation in CT Images
4. Volumetric Attention for 3D Medical Image Segmentation and Detection
5. TD-Net: A Hybrid End-to-End Network for Automatic Liver Tumor Segmentation From CT Images
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