MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation.

Autor: Ejiyi CJ; Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, Sichuan, China; Sichuan Industrial Internet Intelligent Monitoring and Application Engineering Research Center, Chengdu University of Technology, Chengdu, China., Qin Z; Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. Electronic address: qinzhen@uestc.edu.cn., Ejiyi MB; Pharmacy Department, University of Nigeria Nsukka, Nsukka, Enugu State, Nigeria., Ukwuoma C; Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Ejiyi TU; Department of Pure and Industrial Chemistry, University of Nigeria Nsukka, Nsukka, Enugu State, Nigeria., Muoka GW; Network and Data Security Key Laboratory of Sichuan Province, University of Electronic Science and Technology of China, Chengdu, Sichuan, China., Gyarteng ESA; School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China., Bamisile OO; Sichuan Industrial Internet Intelligent Monitoring and Application Engineering Research Center, Chengdu University of Technology, Chengdu, China.

Publikováno v: Computers in biology and medicine [Comput Biol Med] 2024 Sep; Vol. 179, pp. 108847. Date of Electronic Publication: 2024 Jul 15.