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A scalable deep attention mechanism of instance segmentation for the investigation of chromosome.

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第一作者: Neelam,Umbreen
第一单位: National University of Sciences and Technology (NUST), Islamabad, Pakistan. Electronic address: neelamumbreen.phd@smme.edu.pk.
作者单位: National University of Sciences and Technology (NUST), Islamabad, Pakistan. Electronic address: neelamumbreen.phd@smme.edu.pk. [1] National University of Sciences and Technology (NUST), Islamabad, Pakistan; Suzhou Industrial Park Monash Research Institute of Science and Technology, Suzhou 215000, China; School of Mechanical and Manufacturing Engineering (SMME) National University of Sciences and Technology (NUST) Islamabad, NUST-COVENTRY Human-Robot Interaction (NC-HRI) Laboratory, Islamabad, Pakistan; Intelligent Field Robotics Laboratory (IFRL), National Center for Artificial Intelligence (NCAI), National University of Sciences and Technology (NUST), Islamabad, Pakistan. Electronic address: sarababer@smme.nust.edu.pk. [2] National University of Sciences and Technology (NUST), Islamabad, Pakistan. Electronic address: hasan.sajid@smme.nust.edu.pk. [3] National University of Sciences and Technology (NUST), Islamabad, Pakistan; Intelligent Field Robotics Laboratory (IFRL), National Center for Artificial Intelligence (NCAI), National University of Sciences and Technology (NUST), Islamabad, Pakistan. Electronic address: yasar@smme.nust.edu.pk. [4] Information Systems Department, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia. Electronic address: shalsenan@pnu.edu.sa. [5] Department of Computer Science and Engineering, Soonchunhyang University, Asan 31538, Republic of Korea. Electronic address: ynam@sch.ac.kr. [6] Department of Artificial Intelligence, Ajou University, Suwon, Republic of Korea; Department of Software and Computer Engineering, Ajou University, Suwon, Republic of Korea. Electronic address: jebi1771@ajou.ac.kr. [7] School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China. Electronic address: babersial@buaa.edu.cn. [8]
DOI 10.1016/j.slast.2025.100306
PMID 40360085
发布时间 2025-08-07
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