Multi-Axis Attention With Convolution Parallel Block for Organoid Segmentation

作     者：Pengwei Hu Xun Deng Feng Tan Lun Hu Pengwei Hu;Xun Deng;Feng Tan;Lun Hu

作者机构：Xinjiang Technical Institute of Physics and ChemistryChinese Academy of SciencesUrumqi 830011 University of Chinese Academy of SciencesBeijing 100049 Xinjiang Laboratory of Minority Speech and Language Information ProcessingUrumqi 830011China Merck KGaADarmstadt 64293Germany 

出 版 物：《IEEE/CAA Journal of Automatica Sinica》 (自动化学报（英文版）)

年 卷 期：2024年第11卷第5期

页      面：1295-1297页

核心收录：

学科分类：0831[工学-生物医学工程（可授工学、理学、医学学位）] 08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 0811[工学-控制科学与工程] 

基　　金：supported by the Xinjiang Tianchi Talents Program(E33B9401) the Natural Science Foundation of Xinjiang Uygur Autonomous Region(2023D01E15) the National Natural Science Foundation of China(62302495) the National Natural Science Foundation of China(62373348)。 

主　　题：letter convolution organo 

摘      要：Dear Editor,This letter presents an organoid segmentation model based on multi-axis attention with convolution parallel *** adeptly captures dynamic dependencies within bright-field microscopy images,improving global modeling beyond conventional UNet.