Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding by Xiang Li, Ying Wei, Yunlong Zhou, Bin Hong

“…Recently, many multi-atlas patch-based segmentation methods have been proposed and successfully implemented in various medical image applications. …”
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A Mutual Information Constrained Multitask Learning Method for Very High-Resolution Building Segmentation by Yongchuang Wu, Yingchun Wang, Hui Yang, Peng Zhang, Yanlan Wu, Biao Wang

“…However, due to the lack of adaptive context information balancing and effective knowledge transfer mechanisms between tasks, current MTL methods often obtain incomplete and irregular delineations of buildings. To address these issues, we propose a mutual information constrained multitask learning network (MIMNet) for precise building segmentation from remote sensing imagery. …”
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A Frequency Attention-Enhanced Network for Semantic Segmentation of High-Resolution Remote Sensing Images by Jianyi Zhong, Tao Zeng, Zhennan Xu, Caifeng Wu, Shangtuo Qian, Nan Xu, Ziqi Chen, Xin Lyu, Xin Li

“…Semantic segmentation of high-resolution remote sensing images (HRRSIs) presents unique challenges due to the intricate spatial and spectral characteristics of these images. …”
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Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data by Bas Peters, Eldad Haber, Keegan Lensink

“…The large spatial/temporal/frequency scale of geoscience and remote-sensing datasets causes memory issues when using convolutional neural networks for (sub-) surface data segmentation. …”
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Paint Loss Detection and Segmentation Based on YOLO: An Improved Model for Ancient Murals and Color Paintings by Yunsheng Chen, Aiwu Zhang, Jiancong Shi, Feng Gao, Juwen Guo, Ruizhe Wang

“…However, existing methods still suffer from issues such as incomplete segmentation, patch noise, and missed detections during paint loss extraction, limiting the automation of paint loss detection and restoration. …”
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A Real-Time Road Scene Semantic Segmentation Model Based on Spatial Context Learning by Xiaomei Xiao, Jialiang Tang, Xiaoyan Lu, Zhengyong Feng, Yi Li

“…To address the issues of high computational complexity and insufficient aggregation of global and local information in existing image segmentation methods, this paper proposes an efficient segmentation model based on Spatial Context Learning, named SCLSeg. …”
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Study on Deformation Law and Reinforcement Effects of Metro Shield Tunnel Segments under Loading and Unloading by XU Hao, LI Shenkui, WU Shengxian

“…［Objective］ Ground loading over metro shield tunnels often causes structural segment deformations, water leakage, and other issues, directly affecting metro operation safety. …”
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Delineations for Police Patrolling on Street Network Segments with <i>p</i>-Median Location Models by Changho Lee, Hyun Kim, Yongwan Chun, Daniel A. Griffith

“…This paper considers two <i>p</i>-median location models using segments on a street network as observational units on which traffic issues such as vehicle crashes occur. …”
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A dual attentional skip connection based Swin‐UNet for real‐time cloud segmentation by Fuhao Wei, Shaofan Wang, Yanfeng Sun, Baocai Yin

“…Abstract Developing real‐time cloud segmentation technology is urgent for many remote sensing based applications such as weather forecasting. …”
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Semantic Segmentation Method for High-Resolution Tomato Seedling Point Clouds Based on Sparse Convolution by Shizhao Li, Zhichao Yan, Boxiang Ma, Shaoru Guo, Hongxia Song

“…However, existing semantic segmentation methods often suffer from issues such as low precision and slow inference speed. …”
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BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…Moreover, most existing methods only detect whether changes have occurred but ignore change types, such as new construction and demolition. To address these issues, we present a building change-type detection network (BCTDNet) based on the Segment Anything Model (SAM) to identify newly constructed and demolished buildings. …”
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Multi-View Attention Network With Iterative Feature Refinement and Boundary Awareness for Endoscopic Image Segmentation by Dongzhi He, Rui Zhang, Yu Liang, Jiaping Chen, Yunqi Li

“…However, achieving accurate segmentation is challenging due to issues such as boundary blurring, low contrast, and small lesion sizes. …”
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A YOLO11-Based Method for Segmenting Secondary Phases in Cu-Fe Alloy Microstructures by Qingxiu Jing, Ruiyang Wu, Zhicong Zhang, Yong Li, Qiqi Chang, Weihui Liu, Xiaodong Huang

“…The microstructure of these materials significantly affects their performance. To address the issues of subjectivity, low efficiency, and limited quantitative capability in traditional metallographic analysis methods, this paper proposes a deep learning-based approach for segmenting the second phase in Cu-Fe alloys. …”
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DAPSS: A Novel Network for DOM Assisted Oblique Photography Point Cloud Semantic Segmentation by Zhenzhen Song, Mingqiang Guo, Liang Wu, Heng Liu, Ying Huang, Zheng Liu

“…Vertical occlusion has an issue, making ray-based mapping methods unsuitable. …”
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Cap2Seg: leveraging caption generation for enhanced segmentation of COVID-19 medical images by Wanlong Zhao, Wanlong Zhao, Fan Li, Fan Li, Yueqin Diao, Yueqin Diao, Puyin Fan, Puyin Fan, Zhu Chen, Zhu Chen

“…Additionally, these methods often assume that the input text annotations are ideal, overlooking the impact of poor-quality text on model performance in practical scenarios. To address these issues, we propose a novel generative medical image segmentation model, Cap2Seg (Leveraging Caption Generation for Enhanced Segmentation of COVID-19 Medical Images). …”
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Application of the program for artificial intelligence analytics of paper text and segmentation by specified parameters in clinical practice by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, A. A. Kobak, E. V. Bazaeva, D. N. Samochatov, E. V. Koshkina, Е. V. Bushueva, O. M. Drapkina

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CIA-UNet: An Attention-Enhanced Multi-Scale U-Net for Single Tree Crown Segmentation by Jiapeng Duan, Chuanzhao Tian, Wansi Liu, Lixiang Cao, Teng Feng, Xiaomin Tian

“…However, single tree crown segmentation currently faces several challenges, including insufficient segmentation accuracy, mis-segmentation and crown adhesion. …”
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Pothole detection and segmentation in the Bushveld Complex using physics-based data augmentation and deep learning by Glen T. Nwaila, Musa S.D. Manzi, Emmanuel John M. Carranza, Raymond J. Durrheim, Hartwig E. Frimmel

“…However, the accurate segmentation of potholes in seismic data remains unresolved, particularly using geodata science-based methods. …”
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Adapting Vision Transformer-Based Object Detection Model for Handwritten Text Line Segmentation Task by Osman Furkan KARAKUŞ, Ayla GULCU, Ali Can KARACA

“…This study introduces a novel approach for segmenting lines of text in handwritten documents using a vision transformer model. …”
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A Fine Agricultural Flood Segmentation Model for HJ-2E S-Band SAR Data by Mingyang Song, Lu Xu, Nanhuanuowa Zhu, Zihuan Guo, Haoxuan Duan, Jiahua Teng, Xia Lei, Lijun Zuo

“…Subsequently, a novel deep learning model, S-band flood segmentation U-shaped network (SFSUNet), was designed for flood segmentation using S-band SAR data. …”
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