DEVELOPMENT OF A METHOD FOR ANALYZING TOMOGRAPHIC IMAGES OF BONE STRUCTURES by Hanna Abramova, Oleh Avrunin

“…For the development of methods for the analysis of tomographic images with lesion of the bone structure, one of the fundamental issues is visualization of tomographic data. In this case, it is advisable to provide modules for both two-dimensional and three-dimensional visualization with methods of processing and segmentation of vertebral bodies, as well as correcting the results obtained in an interactive mode. …”
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Unveiling geological complexity in the Serra Dourada Granite using self-organizing maps and hierarchical clustering: Insights for REE prospecting in the Goiás Tin Province, Brasíli... by Guilherme Ferreira da Silva, Marcos Vinícius Ferreira, Lucy Takehara Chemale, Igor Vasconcelos Santana, Nilson Francisquini Botelho

“…To address this, we apply unsupervised machine learning techniques to segment airborne radiometric data, providing a more nuanced understanding of the SDG internal structure. …”
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Image Data Augmentation Approaches: A Comprehensive Survey and Future Directions by Teerath Kumar, Rob Brennan, Alessandra Mileo, Malika Bendechache

“…This survey explores the mitigation of the overfitting issue through a comprehensive examination of image data augmentation techniques, which aim to enhance dataset size and diversity by introducing varied samples. …”
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Deep learning applications for diabetic retinopathy and retinopathy of prematurity diseases diagnosis: a systematic review by Elizabeth Ndunge Mutua, Bernard Shibwabo Kasamani, Christoph Reich

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A Convex Variational Interactive Model with Projection Method for Digital Images Partitioning by Abdul Kadir Jumaat, Mohamed Ammareza Mohamed Shariff, Nuruljannah Khairunnizam

“…Consequently, a new convex formulation of VIM was recently developed based on the chessboard distance function, known as the Selective Segmentation based on Chessboard distance function (SSCD) model. …”
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Fusion of deep neural networks and infrared wave analysis for climate pattern prediction and shifting sand hazard Assessment by Huayu Lu, Marzieh Mokarram

“…The combination of deep neural networks and multi-resolution segmentation (MRS) identifies the optimal scale for sand dune separation as 90 and 100 m. …”
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Detection of Violent Scenes in Cartoon Movies Using a Deep Learning Approach by Noreen Fayyaz Khan, Sareer Ul Amin, Zahoor Jan, Changhui Yan

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Improved YOLOv8 Model for Phenotype Detection of Horticultural Seedling Growth Based on Digital Cousin by Yuhao Song, Lin Yang, Shuo Li, Xin Yang, Chi Ma, Yuan Huang, Aamir Hussain

“…In the second phase, an improved YOLOv8 model is created to segment and measure the seedlings, and it is modified by adding the LADH, SPPELAN, and Focaler-ECIoU modules. …”
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SolarSegNet: A multimodal frequency-aware network for photovoltaic power stations extraction using Sentinel-1 and Sentinel-2 images in coastal China by Fangxiong Wang, Zhiying Liao, Yingzi Hou, Zhenqi Cui, Yiqi Wang, Jiachen Gong, Haomiao Yu, Junfu Wang, Yuanyi Zhu, Qiao Yu, Jianfeng Zhu

“…This challenge arises due to frequent cloud and fog coverage in coastal areas, leading to spectral confusion in optical images and complicating accurate PV extraction. To address this issue, this study proposes SolarSegNet, a multimodal semantic segmentation network integrating Sentinel-1 synthetic aperture radar (SAR) and Sentinel-2 multispectral images (MSI) data. …”
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Investigating the Construction Procedure and Safety Oversight of the Mechanical Shaft Technique: Insights Gained from the Guangzhou Intercity Railway Project by Jianwang Li, Wenrui Qi, Xinlong Li, Gaoyu Liu, Jian Chen, Huawei Tong

“…Although there are various construction methods, most face issues such as a large footprint, high investments, resource waste, and low mechanization. …”
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High-Quality Damaged Building Instance Segmentation Based on Improved Mask Transfiner Using Post-Earthquake UAS Imagery: A Case Study of the Luding Ms 6.8 Earthquake in China by Kangsan Yu, Shumin Wang, Yitong Wang, Ziying Gu

“…To address these issues, this paper proposed DB-Transfiner, a building damage instance segmentation method for post-earthquake UAS imagery based on the Mask Transfiner network. …”
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Analysis of the restoration of cardiology diagnostics scope in the Russian Federation during the COVID-19 pandemic: results of the Russian segment of the INCAPS COVID 2 study under... by A. A. Ansheles, V. B. Sergienko, E. V. Sinitsyn, M. N. Vakhromeeva, A. N. Kokov, K. V. Zavadovsky, D. V. Ryzhkova, A. V. Karalkin, I. V. Shurupova, V. A. Pospelov, E. V. Migunova, G. B. Sayfullina, O. Yu. Dariy, K. N. Zhuravlev, I. E. Itskovich, N. V. Gagarina, C. Hirschfeld, M. C. Williams, L. J. Shaw, E. Malkovskiy, N. Better, R. Cerci, Sh. Dorbala, G. Karthikeyan, T. N. Pascual, T. Villines, J. V. Vitola, Y. Cohen, M. Randazzo, L. Sewanan, Y. Pynda, M. Dondi, D. Paez, A. J. Einstein

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THE SPLITTING OF LABOUR MARKET AND EMPLOYMENT ENTREPRENEURIAL STRATEGIES by MARIANA CLAUDIA MUNGIU-PUPĂZAN, MARIA VASILESCU

“…Labour market segmentation is determined both by economic considerations, also the characteristics of the workforce (level of training, qualifications, job mobility) and institutional issues (regulation of employment, level of union organization). …”
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Indoor mmWave Radar Ghost Suppression: Trajectory-Guided Spatiotemporal Point Cloud Learning by Ruizhi Liu, Zhenhang Qin, Xinghui Song, Lei Yang, Yue Lin, Hongtao Xu

“…Ablation studies demonstrate the importance of each component, particularly the complementary benefits of pre-segmentation and trajectory processing.…”
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Axial-UNet++ Power Line Detection Network Based on Gated Axial Attention Mechanism by Ding Hu, Zihao Zheng, Yafei Liu, Chengkang Liu, Xiaoguo Zhang

“…To address the issues of class imbalance, low sample quantity, and long-range dependency in images, a specialized semantic segmentation network for power line segmentation called Axial-UNet++ is proposed. …”
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Stereo vision based broccoli recognition and attitude estimation method for field harvesting by Zhenni He, Fahui Yuan, Yansuo Zhou, Bingbo Cui, Yong He, Yufei Liu

“…At present, automatic broccoli harvest in field still faces some issues. It is difficult to segment broccoli in real time under complex field background, and hard to pick tilt-growing broccoli for the end-effector of robot. …”
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Real-time reading system for pointer meter based on YolactEdge by Chengjun Yang, Ruijie Zhu, Xinde Yu, Ce Yang, Lijun Xiao, Scott Fowler

“…Cloud deployment may compromise plant privacy, while edge computing faces limitations in real-time meter reading due to limited computing power. To address these issues, we propose a real-time reading system based on the YolactEdge instance segmentation framework for single-point analog meters. …”
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Swin-FSNet: A Frequency-Aware and Spatially Enhanced Network for Unpaved Road Extraction from UAV Remote Sensing Imagery by Jiwu Guan, Qingzhan Zhao, Wenzhong Tian, Xinxin Yao, Jingyang Li, Wei Li

“…Experimental results on the SHZ unpaved road dataset and the widely used DeepGlobe dataset show that Swin-FSNet performs well in segmentation accuracy and road structure preservation, with an IoU_road of 81.76% and 71.97%, respectively. …”
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CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…Specifically, a superpixel segmentation algorithm is applied to bi-temporal images to construct graph nodes, while the k-nearest neighbors algorithm is used to define edge connections. …”
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Mapping emergent coral reefs: a comparison of pixel‐ and object‐based methods by Amy Stone, Sharyn Hickey, Ben Radford, Mary Wakeford

“…For the OB model, two segmentation methods were considered: an optimized mean shift segmentation and the fully automated Segment Anything Model (SAM). …”
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