Curvature-Based Change Detection in Road Segmentation: Ascending Hierarchical Clustering vs. K-Means by David Jaurès Fotsa-Mbogne, Addie Bernice Nguensie-Wakponou, Jean Michel Nlong, Marcellin Atemkeng, Maurice Tchuente

“…To mitigate scalability issues, it is beneficial to first group the data into homogeneous continuous sections. …”
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Quantifying the Visuo-Perceptual Segregation Between Ortabayır and Levent District in Istanbul through Semantic Segmentation by Jood Kassab, Can Uzun

“…The dataset for semantic segmentation contains 150 street view images for both Levent and Ortabayır regions. …”
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Segmentation-aided phase unwrapping for 3D reconstruction with airborne array-InSAR images by Zhang Xin, Hu Fengming, Xu Feng

“…In this work, a 3D phase unwrapping algorithm assisted by image segmentation is proposed to address this issue. The Markov random field (MRF) is utilized for image segmentation. …”
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Evaluation of Semi-supervised Semantic Segmentation for Remote Sensing, Medical Imaging, and Machine Vision Settings by S. Landgraf, J. Huber, M. Hillemann, M. Ulrich

“…Semi-supervised semantic segmentation (S⁴) has garnered significant attention in recent years due to the time-consuming and costly process of creating pixel-level annotations. …”
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Attention-based multi-residual network for lung segmentation in diseased lungs with custom data augmentation by Md. Shariful Alam, Dadong Wang, Yulia Arzhaeva, Jesse Alexander Ende, Joanna Kao, Liz Silverstone, Deborah Yates, Olivier Salvado, Arcot Sowmya

“…To further enhance segmentation performance, we introduce a data augmentation technique that simulates the features and characteristics of CXR pathologies, addressing the issue of limited annotated data. …”
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Refractory Segmental Hyaline Vasculitis Treated with Janus Kinase Inhibitor Tofacitinib: A Case Report by Zhang Y, Xia R

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Dilated inception U-Net with attention for crop pest image segmentation in real-field environment by Congqi Zhang, Yunlong Zhang, Xinhua Xu

“…Automatic pest image segmentation (PIS) plays a vital role in pest detection and recognition. …”
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Artificial Intelligence-Based Segmentation and Classification of Plant Images with Missing Parts and Fractal Dimension Estimation by Ganbayar Batchuluun, Seung Gu Kim, Jung Soo Kim, Tahir Mahmood, Kang Ryoung Park

“…However, limited camera viewing angles can cause parts of the plant to be invisible in the acquired images, leading to an inaccurate classification. However, this issue has not been addressed by previous research. …”
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Remote sensing image semantic segmentation network based on multi-scale feature enhancement fusion by Feiting Wang, Yuan Zhang, Qiongqiong Hu, Yu Zhu

“…However, due to the problems of varying target scale and difficulty in determining the edges of small-scale targets in remote sensing images, traditional semantic segmentation models perform poorly. To address this issue, we propose a multi-scale feature enhancement network (MFENet) to improve the segmentation accuracy of small-scale objects in HRRSIs. …”
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Enhanced Rail Surface Defect Segmentation Using Polarization Imaging and Dual-Stream Feature Fusion by Yucheng Pan, Jiasi Chen, Peiwen Wu, Hongsheng Zhong, Zihao Deng, Daozong Sun

“…Therefore, this paper proposes a novel defect segmentation method leveraging a dual-stream feature fusion network that combines polarization images with DeepLabV3+. …”
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A Lightweight Framework for Audio-Visual Segmentation with an Audio-Guided Space–Time Memory Network by Yunpeng Zuo, Yunwei Zhang

“…Furthermore, these models often lack integration with object tracking mechanisms and fail to address the issue of the mis-segmentation of unvoiced objects caused by environmental noise in real-world scenarios. …”
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Iris Recognition System Using Advanced Segmentation Techniques and Fuzzy Clustering Methods for Robotic Control by Slim Ben Chaabane, Rafika Harrabi, Hassene Seddik

“…The proposed method aims to improve the precision and effectiveness of iris recognition by incorporating advanced segmentation techniques and fuzzy clustering methods. …”
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Restoring Ocular Microbiota Balance: A New Bioprinted Approach to Treating Anterior Segment Diseases by Dario Rusciano

“…Dysbiosis, or disruption of this microbial balance, is increasingly recognized as a contributing factor to various ocular surface and anterior segment pathologies, including dry eye disease, blepharitis, conjunctivitis, and keratitis. …”
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Zero-shot instance segmentation for plant phenotyping in vertical farming with foundation models and VC-NMS by Qin-Zhou Bao, Yi-Xin Yang, Qing Li, Hai-Chao Yang

“…For point prompts, similarity maps with a max distance criterion are integrated to improve spatial coherence in sparse annotations, addressing the ambiguity of generic point prompts in agricultural contexts.ResultsExperimental validation on two test datasets shows that our enhanced box and point prompts outperform SAM’s everything mode and Grounded SAM in zero-shot segmentation tasks. Compared to the supervised method YOLOv11, our framework demonstrates superior zero-shot generalization, achieving the best segmentation performance on both datasets without target-specific annotations.DiscussionThis study addresses the critical issue of scarce annotated data in vertical farming by developing a zero-shot segmentation framework. …”
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Optimization of Coverage Path Planning for Agricultural Drones in Weed-Infested Fields Using Semantic Segmentation by Fabian Andres Lara-Molina

“…In this direction, a novel framework for autonomous drone-based herbicide applications that integrates deep learning-based semantic segmentation and coverage path optimization is proposed. …”
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Brain Tumour Segmentation and Grading Using Local and Global Context-Aggregated Attention Network Architecture by Ahmed Abdulhakim Al-Absi, Rui Fu, Nadhem Ebrahim, Mohammed Abdulhakim Al-Absi, Dae-Ki Kang

“…However, grade recognition is a challenging issue for radiologists involved in automated diagnosis and healthcare monitoring. …”
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UCrack-DA: A Multi-Scale Unsupervised Domain Adaptation Method for Surface Crack Segmentation by Fei Deng, Shaohui Yang, Bin Wang, Xiujun Dong, Siyuan Tian

“…Domain adaptation methods can achieve transfer training without relying on manual annotation, but traditional domain adaptation methods struggle to effectively address the characteristics of cracks. To address this issue, we propose an unsupervised domain adaptation method for crack segmentation. …”
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Few-shot Metro Track-wheel Image Segmentation Algorithm Based on Cross-attention Network by CAO Jianxin, ZHANG Yueying, JIANG Weihao, GAO Yunhao

“…[Objective] The domain adaptation issue among metro track images results in low segmentation accuracy for track-wheel images with high inter-class similarity in existing algorithms. …”
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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

“…To address this issue, this study proposes CGV-Net (CNN, GNN, and ViT networks), a novel tunnel crack segmentation network model that integrates convolutional neural networks (CNNs), graph neural networks (GNNs), and Vision Transformers (ViTs). …”
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Optimized Mask-RCNN model for particle chain segmentation based on improved online ferrograph sensor by Shuo Wang, Miao Wan, Tonghai Wu, Zichen Bai, Kunpeng Wang

“…To address this issue, an integrated optimization method is developed that focuses on two aspects: the structural re-design of the online ferrograph sensor and the intelligent segmentation of particle chains. …”
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