PATNet: Permute attention and transformer-enhanced network for segmentation of musculoskeletal ultrasound images by Yating Wu, Feng Bu, Jin Tian, Li Zhao, Guangfei Yang, Jianming Lu

“…To address the above issues, this paper proposes a deep learning model called PATNet (Permute Attention and Transformer-Enhanced Network for Segmentation of Musculoskeletal Ultrasound Images). …”
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A Micro-Segmentation Method Based on VLAN-VxLAN Mapping Technology by Di Li, Zhibang Yang, Siyang Yu, Mingxing Duan, Shenghong Yang

“…This method can be implemented cost-effectively, without necessitating business modifications or causing service disruptions, thereby overcoming the challenges associated with micro-segmentation deployment. Importantly, this approach is based on standard public protocols, making it independent of specific product brands and enabling a network-centric framework that avoids software compatibility issues. …”
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Plant Height Estimation in Corn Fields Based on Column Space Segmentation Algorithm by Huazhe Zhang, Nian Liu, Juan Xia, Lejun Chen, Shengde Chen

“…This study addresses the challenges of plant segmentation and inaccurate plant height extraction in maize populations under field conditions. …”
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SSDFusion: A Semantic Segmentation Driven Framework for Infrared and Visible Image Fusion by Qishen Lv, Rui Yang, Chengmin Zhang, Shuaihui Liu, Xinyan Fan, Zihao Luo

“…However, existing infrared and visible image fusion methods often lack attention to the semantic information and global context information in the original images. To address these issues, we propose a novel deep learning framework for infrared and visible image fusion, which is named Semantic Segmentation Driven Infrared and Visible Image Fusion Framework (SSDFusion). …”
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Neural network-based segmentation model for breast cancer X-ray screening by N. I. Rozhkova, P. G. Roitberg, A. A. Varfolomeeva, M. M. Mazo, A. N. Dobrenkii, D. S. Blinov, E. V. Sushkov, O. N. Deryabina, A. I. Sokolov

“…The developed system is represented by a segmentation model based on neural network architecture. …”
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AI-Driven Background Segmentation for High-Throughput 3D Plant Scans by Serkan Kartal, Jan Masner, Jana Kholova, Alexander Galba, Tharanya Murugesan, Rekha Baddam, Vojtech Mikes, Eva Kanska

“…Accurate background segmentation in 3D plant phenotyping is crucial for reliable trait assessment but remains challenging. …”
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High-resolution segmentation of the cavum septum pellucidum in young adult human brains by Andrew Rios, Achok Alier, Mihir Aneja, Farah Nimeri, Kayla Lavery, Jack Fisher, Rochana Wiyathunge, Marek Kubicki, Marek Kubicki, Edward Yeterian, Sylvain Bouix, Sylvain Bouix, Nikos Makris, Nikos Makris, Nikos Makris, Hector Arciniega, Hector Arciniega, R. Jarrett Rushmore, R. Jarrett Rushmore, R. Jarrett Rushmore

“…Moreover, the small size and frequently indistinct borders present a challenge for automated segmentation of the CSP. To address these issues, we developed a novel manual parcelation approach to volumetrically segment the CSP in high-resolution T1-weighted structural MRIs from male and female participants in the young adult dataset of the Human Connectome Project (HCP). …”
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Study on the impact of partial unloading on the structural deformation of prefabricated segmental subway tunnels by Yuancheng Guo, Longqi Zhao, Huifang Zou, Hao Li, Tengfei Li

“…Abstract To address the issue of deformation in prefabricated segmental subway tunnels caused by partial excavation unloading which affects the safety of subway operational safety. …”
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Segmentation-Based Detection for Luffa Seedling Grading Using the Seg-FL Model by Sheng Jiang, Fangnan Xie, Jiangbo Ao, Yechen Wei, Jingye Lu, Shilei Lyu, Zhen Li

“…The small leaves of early-stage luffa seedlings are liable to be mistaken for impurities in the plug trays. To address this issue, cross-scale connections and weighted feature fusion are introduced in order to integrate feature information from different levels, thereby improving the recognition and segmentation accuracy of seedlings or details by refining the PANet structure. …”
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Factors of the evolution of air passenger segmentation: The case of the Serbian air travel market by Kalić Milica, Dožić Slavica, Kukić Katarina, Babić Danica

“…The resulting passenger segments are categorized based on socioeconomic and travel purpose criteria, but the surveys conducted at Serbian airports reveal that competition triggered the service quality to become a major issue in the Serbian market, after the entrance of low-cost carriers. …”
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AC-MLP: Axial Convolution-MLP Mixer for nuclei segmentation in histopathological images by Nguyen Thanh Thu, Dinh Binh Duong, Tran Thi Thao, Pham Van Truong

“…In this study, we proposed a novel model for nuclei image segmentation namely Axial Convolutional-MLP Mixer, by replacing the token mixer of MLP-Mixer with a new operator, Axial Convolutional Token Mix. …”
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MUSeg: A multimodal semantic segmentation dataset for complex underground mine scenes by Shiyan Li, Qingqun Kong, Xuan Gao, Fangzhen Shi, Lianghui Li, Qi Zhang, Penghao Wang, Kehu Yang

“…This work develops a multimodal semantic segmentation benchmark dataset for complex underground mine scenes (MUSeg) to address this issue. …”
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Enhancing Point Cloud Classification and Segmentation With Attention-Enhanced SO-PointNet++ by Gang Cheng, Chengwei Gu

“…With the rapid advancement of deep learning in computer vision, accurately performing classification and segmentation tasks on 3D point clouds has become increasingly important. …”
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Medical image segmentation model based on local enhancement driven global optimization by Lianghui Xu, Ayiguli Halike, Gan Sen, Mo Sha

“…In response to this issue, this paper proposes a medical image segmentation model, named Local Enhancement Driven Global Optimization Network (LEGO-Net), and specially develops an Detail and Contour Recognition Module (DCRM) to accurately identify the boundaries of lesion tissue. …”
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Semantic Segmentation of Unmanned Driving Scene Based on Spatial Channel Dual Attention by WANGXiaoyu, LINPeng

“… An important issue in the field of unmanned driving is how to run real-time high-precision semantic segmentation models on low-power mobile electronic devices. …”
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Point Cloud-Based Segmentation of Small Roof Components in Chinese Ancient Architecture by J. Zhao, J. Zhao, X. Zhang, X. Zhang, Z. Liu, Z. Liu, J. Yang, J. Yang, H. Yu, H. Yu

“…As a result, when ground truth labels are assigned randomly, the number of labeled points for these smaller elements is insufficient, leading to suboptimal segmentation accuracy. To address this issue, we refine the positional encoding method based on advancements in the attention mechanism, thereby enhancing the model’s ability to focus on small-scale components. …”
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PFFNet: A pyramid feature fusion network for microaneurysm segmentation in fundus images by Jiaxin Lu, Beiji Zou, Xiaoxia Xiao, Qinghua Peng, Junfeng Yan, Wensheng Zhang, Kejuan Yue

“…However, the minute scale and subtle contrast of MAs against the background pose challenges for segmentation. This paper focuses on automatic MA segmentation in fundus images. …”
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A Semantic Segmentation-Based GNSS Signal Occlusion Detection and Optimization Method by Zhe Yue, Chenchen Sun, Xuerong Zhang, Chengkai Tang, Yuting Gao, Kezhao Li

“…Existing research fails to effectively address the problem of increased GNSS positioning errors caused by non-line-of-sight (NLOS) and line-of-sight (LOS) signal attenuation due to obstructions such as buildings and trees in complex urban environments. To address this issue, we dig into the environmental perception perspective to propose a semantic segmentation-based GNSS signal occlusion detection and optimization method. …”
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A segmentation method for LiDAR point clouds of aerial slender targets by Birong Huang, Zilong Wang, Jianhua Chen, Bingyang Zhou, Hao Ma

“…These targets have complex backgrounds, elongated shapes, and small reflection cross-sections, making them difficult to detect directly from LiDAR point clouds. To address this issue, this paper takes overhead power line as a representative example of aerial slender targets and proposes a method that utilizes visible light images to guide the segmentation of LiDAR point clouds under large depth of field conditions. …”
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A Shield Segment Bolt Detection and Localization Method Based on Ellipse Detection by Jie Liu, Shuaishuai Liu, Zhendong He, Yanqiu Xiao, Guangzhen Cui, Pengpeng Wang

“…The automatic assembly of shield tunnel segments can significantly reduce labor intensity and improve tunneling efficiency. …”
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