Multi-Axis Attention With Convolution Parallel Block for Organoid Segmentation  

作　　者：Pengwei Hu Xun Deng Feng Tan Lun Hu 

机构地区：[1]Xinjiang Technical Institute of Physics and Chemistry,Chinese Academy of Sciences,Urumqi 830011 [2]University of Chinese Academy of Sciences,Beijing 100049 [3]Xinjiang Laboratory of Minority Speech and Language Information Processing,Urumqi 830011,China [4]Merck KGaA,Darmstadt 64293,Germany

出　　处：《IEEE/CAA Journal of Automatica Sinica》2024年第5期1295-1297,共3页自动化学报（英文版）

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)。

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

关 键 词：LETTER CONVOLUTION organo 

分 类 号：R318[医药卫生—生物医学工程] TP391.41[医药卫生—基础医学]