E-Commerce or Traditional Purchasing Channel: Segmenting The Agro-Food Consumers in Cross River State, Nigeria by Amarachi E. Uzoigwe, Susanna B. Ohen

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RBMDC-Net: Effective Jaw Cyst Segmentation Network Using Residual Bottleneck and Multiscale Dilated Convolution by Huixia Zheng, Xiaoliang Jiang, Xu Xu, Zhenfei Yuan

“…Automatic segmentation of jaw cysts in cone-beam computed tomography (CBCT) scans plays a crucial role in clinical and treatment planning, and it provides an efficient alternative to labor-intensive manual procedures. …”
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An Effective 3D Instance Map Reconstruction Method Based on RGBD Images for Indoor Scene by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…Next, we perform semantic and geometric segmentation on the color and depth images of these keyframes, respectively, using semantic segmentation to optimize the geometric segmentation results and address inaccuracies in the target segmentation caused by small depth variations. …”
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A Novel Adaptive Cuboid Regional Growth Algorithm for Trunk–Branch Segmentation of Point Clouds from Two Fruit Tree Species by Yuheng Cao, Ning Wang, Bin Wu, Xin Zhang, Yaxiong Wang, Shuting Xu, Man Zhang, Yanlong Miao, Feng Kang

“…To address this issue, a novel adaptive cuboid regional growth segmentation algorithm is proposed in this study. …”
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Results of coronary bypass surgery performed in the early stages of non-ST segment elevation acute coronary syndrome by Yu. V. Neverova, R. S. Tarasov, S. V. Ivanov, A. B. Nishonov, L. S. Barbarash

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CR-Mask RCNN: An Improved Mask RCNN Method for Airport Runway Detection and Segmentation in Remote Sensing Images by Meng Wan, Guannan Zhong, Qingshuang Wu, Xin Zhao, Yuqin Lin, Yida Lu

“…Airport runways, as the core part of airports, belong to vital national infrastructure, and the target detection and segmentation of airport runways in remote sensing images using deep learning methods have significant research value. …”
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Improving Phrase Segmentation in Symbolic Folk Music: A Hybrid Model with Local Context and Global Structure Awareness by Xin Guan, Zhilin Dong, Hui Liu, Qiang Li

“…Moreover, multi-head self-attention struggles with local context modeling, causing the loss of short-term information (e.g., pitch variation, melodic integrity, and rhythm stability), which may result in over-segmentation or merging errors. To address these issues, we propose a segmentation method integrating local context enhancement and global structure awareness. …”
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Atrial Fibrillation and Ventricular Arrhythmias in ST Segment Elevation Myocardial Infarction: Possibilities of Pharmacotherapy and Non-Pharmacological Treatment by Yu. A. Bunin, S. A. Miklisanskaya, V. V. Chigineva, E. A. Zolozova

“…Atrial fibrillation (AF) is the most common tachyarrhythmia complicating ST segment elevation myocardial infarction (STEMI), while ventricular arrhythmias (VA) can, not only be accompanied by a hemodynamic disorder, but in some cases, worsen its prognosis. …”
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VDMNet: A Deep Learning Framework with Vessel Dynamic Convolution and Multi-Scale Fusion for Retinal Vessel Segmentation by Guiwen Xu, Tao Hu, Qinghua Zhang

“…Finally, we propose Weighted Asymmetric Focal Tversky Loss (WAFT Loss) to address class imbalance issues, focusing on the accurate segmentation of small and difficult-to-detect vessels. …”
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DBFormer: A Dual-Branch Adaptive Remote Sensing Image Resolution Fine-Grained Weed Segmentation Network by Xiangfei She, Zhankui Tang, Xin Pan, Jian Zhao, Wenyu Liu

“…However, in the task of fine-grained segmentation of weeds and crops, traditional deep learning methods often fail to balance global semantic information with local detail features, resulting in over-segmentation or under-segmentation issues. …”
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AfaMamba: Adaptive Feature Aggregation With Visual State Space Model for Remote Sensing Images Semantic Segmentation by Hongkun Chen, Huilan Luo, Chanjuan Wang

“…Remote sensing images semantic segmentation is typically challenging due to the complexity of land cover information. …”
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The Lightweight Fracture Segmentation Algorithm for Logging Images Based on Fully 3D Attention Mechanism and Deformable Convolution by Qishun Yang, Liyan Zhang, Zihan Xi, Yu Qian, Ang Li

“…However, existing image segmentation algorithms still encounter issues related to accuracy, speed, and robustness, as well as a tendency to misdetect or overlook small fractures when applied to logging image fracture segmentation tasks. …”
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A 3D Dual Encoder Mirror Difference ResU-Net for Multimodal Brain Tumor Segmentation by Qiwei Xing, Zhihua Li, Yongxia Jing, Xiaolin Chen

“…Brain tumors are characterized by their relatively high incidence and mortality rates, highlighting the utmost importance of precise automatic segmentation for subsequent diagnosis and treatment. …”
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YOLO-SG: Seafloor Topography Unit Recognition and Segmentation Algorithm Based on Lightweight Upsampling Operator and Attention Mechanisms by Yifan Jiang, Ziyin Wu, Fanlin Yang, Dineng Zhao, Xiaoming Qin, Mingwei Wang, Qiang Wang

“…However, traditional methods for seafloor topography recognition and segmentation face several issues, such as poor capability in analyzing complex terrains and limited generalization ability. …”
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Longitudinal Joint Experiment of Shield Tunnel Segments Reinforced with Steel Plates under Different Anchor Bolt Arrangements by WANG Jinlong, GAN Haijie, SUN Xuebing, LOU Yinghao, LIU Xian

“…[Objective] To address the issues of weak interfacial bonding and unclear force transmission commonly associated with current steel plate reinforcement methods for shield tunnel segments, it is necessary to conduct full-scale experiments on the longitudinal joints (hereinafter referred to as ′joints′) of shield tunnel segments reinforced with steel plates under various anchor bolt arrangements, and to optimize existing anchor bolt configurations. …”
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Information and Communication Segment of Russian Hybrid War against Ukraine in 2014-2023: Propaganda (the State of Ukrainian Research) by Vеrkhovtsevа Іrynа

“…Intensified efforts are needed to address this issue in the context of international communications. …”
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Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

“…Segmentation methods such as eCognition, the edge-guided image object detection approach, and the segment anything method were utilized to transform RS imagery into vector data. …”
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FCB-YOLOv8s-Seg: A Malignant Weed Instance Segmentation Model for Targeted Spraying in Soybean Fields by Zishang Yang, Lele Wang, Chenxu Li, He Li

“…Specifically, this research aims to tackle key issues in plant protection operations, including the precise identification of weeds, the lightweight deployment of segmentation models, real-time requirements for spraying operations, and the generalization ability of models in diverse field environments. …”
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Enhanced BP Algorithm Combined With Semantic Segmentation and Subaperture for Improving Agricultural Scene Image Quality in GEO SAR by Yifan Wu, Xiyu Qi, Lijia Huang, Bingchen Zhang, Wenyi Zhang, Lili Yan

“…To solve the problem of separating moving targets, we introduce a semantic segmentation algorithm from deep learning into the BP imaging algorithm, achieving pixel-level segmentation and removal of moving targets in subaperture images. …”
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RSM-YOLOv11: Lightweight Steel Surface Defect Segmentation Algorithm Research Based on YOLOv11 Improvement by Zenghai Shan, Hu Haoyan, Changjian Zhu, Shaowen Du, Hongtao Jing, Wang Haibin

“…To address these issues, this paper proposes an improved YOLOv11 segmentation model, RSM-YOLOv11. …”
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