MCAF-Net: multi-feature complementary and adaptive fusion network for automatic computed tomography image liver segmentation
NUCLEAR CHEMISTRY, RADIOCHEMISTRY, RADIOPHARMACEUTICALS AND NUCLEAR MEDICINE|更新时间:2025-10-15
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MCAF-Net: multi-feature complementary and adaptive fusion network for automatic computed tomography image liver segmentation
“New progress has been made in the field of medical image segmentation, with experts proposing the MCAF Net algorithm, which achieves fine segmentation of liver edges and provides a solution for liver disease diagnosis.”
SHEN Tong, male, born in 1988, graduated from Chengdu University of Technology with a doctoral degree in 2019, focusing on signal processing
GU Runqiu, E-mail: runqiugu123@163.com
基金信息:
the Sichuan Science and Technology Program(2023NSFSC1454);the Talent Introduction Research Project Mianyang Central Hospital(2022YJRC-002);the Youth Science Foundation of National Natural Science Foundation of China(41604153);the Youth Science Foundation of Sichuan Province(2022NSFSC1110);Doctoral Fund of Southwest University of Science and Technology(19zx7159)