DE-Net: A Dual-Encoder Network for Local and Long-Distance Context Information Extraction in Semantic Segmentation of Large-Scale Scene Point Clouds by Zhipeng He, Jing Liu, Shuai Yang

“…Semantic segmentation of large-scale point clouds is essential for applications such as autonomous driving and high-definition mapping. …”
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Development and Testing a New Online Dynamic Nomogram for Contrast-Induced Acute Kidney Injury in Elderly Patients with ST-Segment Elevation Myocardial Infarction by Jin J, Ding J, Zhang X, Wang L, Zhang X, Li W, Li S

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Clinical Efficacy of Single- vs Dual-Level Transversus Abdominis Plane Block for Lower Segment Cesarean Section: A Prospective, Randomized, Controlled Study by Cao WN, Qiu B, Li Y, Hu CL, Liu HC, Yuan KM, Wang FY

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Combining readily available population and land cover maps to generate non-residential built-up labels to train Sentinel-2 image segmentation models by Diogo Duarte, Cidália C. Fonte

“…In this paper we combine readily available population counts and land cover maps to generate non-residential training labels that can be used to train a Sentinel-2 image segmentation model capable of distinguishing non-residential built-up from the remaining built-up. …”
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Transparency in Global Agribusiness: Transforming Brazil’s Soybean Supply Chain Based on Companies’ Accountability by Gabriel Medina, Karim Thomé

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Tides of labour. Forms of exploitation and practices of individual resistance in seasonal tourism industry by Nicola Quondamatteo, Francesca Alice Vianello

“…On one hand, drawing on literature about labour exploitation forms, it examines critical issues and labor standard violations within the sector, focusing on wages, supervision, work rhythms, and segmentation along the lines of gender, migration status, and age. …”
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Downhole Coal–Rock Recognition Based on Joint Migration and Enhanced Multidimensional Full-Scale Visual Features by Bin Jiao, Chuanmeng Sun, Sichao Qin, Wenbo Wang, Yu Wang, Zhibo Wu, Yong Li, Dawei Shen

“…The segmentation framework achieves a MIoU of 97.99% and an MPA of 99.28%, surpassing U-Net by 2.21 and 1.53 percentage points, respectively.…”
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PISCFF-LNet: A Method for Autonomous Flight of UAVs Based on Lightweight Road Extraction by Yuanxu Zhu, Tianze Zhang, Aiying Wu, Gang Shi

“…To provide a comprehensive evaluation of the model’s performance, we have developed a new drone remote-sensing road-semantic-segmentation dataset, DRS Road, which includes approximately 2600 ultra-high-resolution remote-sensing images across six scene categories. …”
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RehabHand—A New Physical Rehabilitation Training Dataset: Construction and Benchmark Performances of the Relevant Hand Tasks by Sinh Huy Nguyen, Hoang Bach Nguyen, Thi Thu Hong Le, Chi Thanh Nguyen, Thi Thanh Huyen Nguyen, Quynh Tho Chu, Thi Lan Le, Thanh Hai Tran, Hai Vu

“…These results are also thoroughly discussed in terms of technical issues and challenges in developing a robust clinical tool. …”
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A Picking Point Localization Method for Table Grapes Based on PGSS-YOLOv11s and Morphological Strategies by Jin Lu, Zhongji Cao, Jin Wang, Zhao Wang, Jia Zhao, Minjie Zhang

“…This is attributable to the low distinguishability between grape pedicels and the surrounding environment such as branches, as well as the impacts of other conditions like weather, lighting, and occlusion, which are coupled with the requirements for model deployment on edge devices with limited computing resources. To address these issues, this study proposes a novel picking point localization method for table grapes based on an instance segmentation network called Progressive Global-Local Structure-Sensitive Segmentation (PGSS-YOLOv11s) and a simple combination strategy of morphological operators. …”
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Identification of sweetpotato virus disease-infected leaves from field images using deep learning by Ziyu Ding, Fanguo Zeng, Haifeng Li, Jianyu Zheng, Junzhi Chen, Biao Chen, Wenshan Zhong, Xuantian Li, Zhangying Wang, Lifei Huang, Xuejun Yue, Xuejun Yue

“…The APF module combines a channel attention mechanism with multi-scale feature fusion to enhance the model’s performance in disease pixel segmentation. Additionally, a novel data augmentation technique is utilized to improve recognition accuracy in the edge background areas of real large images, addressing issues of poor segmentation precision in these regions. …”
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Land-Unet: A deep learning network for precise segmentation and identification of non-structured land use types in rural areas for green urban space analysis by Yan Zhao, Junru Xie, Huiru Zhu, Taige Luo, Yao Xiong, Chenyang Fan, Haoxiang Xia, Yuheng Chen, Fuquan Zhang

“…This paper addresses the existing pixel-level semantic ambiguity issues and proposes a new deep learning model, Land-Unet. …”
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De la compréhension orale en classe à la réception orale en situation naturelle : une relation à interroger  by Chantal Parpette

“…Teaching practise is often based on segmentation and replay and does not emulate the fugacity of natural speech. …”
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GeoAI Dataset for Training a Deep Learning-based GEMS Snow Detection Model by Jin-Woo Yu, Jun-Hyeok Jung, Kyoung-Hee Kang, Yong-Mi Lee, Hyung-Sup Jung

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A novel optic disc and optic cup segmentation technique to diagnose glaucoma using deep learning convolutional neural network over retinal fundus images by H.N. Veena, A. Muruganandham, T. Senthil Kumaran

“…The proposed system uses two individual CNN architecture to segment the Optic Cup (OC) and Optic Disc (OD) to get more accurate result. …”
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VMMT-Net: A Dual-Branch Parallel Network Combining Visual State Space Model and Mix Transformer for Land–Sea Segmentation of Remote Sensing Images by Jiawei Wu, Zijian Liu, Zhipeng Zhu, Chunhui Song, Xinghui Wu, Haihua Xing

“…To address this issue, we have developed VMMT-Net, a novel dual-branch semantic segmentation framework. …”
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Performance of segmentation (watershed and meanshift) and image transformation (MNF-laplacian filter) methods for extracting complex coastlines from Pleiades images: the case of th... by Luc Simirore Diatta, Katia Schörle, Zahra Akacha, Semah Bettaieb, Ali Drine, Ameur Oueslati, Luc Lapierre

“…With the ongoing surge in global coastal development, understanding shoreline dynamics has become a critical issue, given the inherent vulnerability of coastal fringes to significant mobility. …”
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The Safety and Effectiveness of Multi-Segment Cortical Bone Trajectory Screws in Adult Degenerative Scoliosis with Stenosis Among the Elderly: Minimum 5-year Follow-up Study by Wang J, Ding Z, Liu Y, Hai Y

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Updating “BePLi Dataset v1: Beach Plastic Litter Dataset version 1, for instance segmentation of beach plastic litter” with 13 object classesSeanoe by Mitsuko Hidaka, Koshiro Murakami, Shintaro Kawahara, Yujin Nakagawa, Daisuke Sugiyama, Shin’ichiro Kako, Daisuke Matsuoka

“…The BePLi Dataset v2 allows users to develop an instance segmentation and object detection method detecting macro beach plastic litter individually and at the pixel level. …”
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A New Construction Method for Rectangular Cartograms by Lina Wang, Haoxun Yuan, Xiang Li, Pengfei Lu, Yaru Li

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