Individual tree extraction through 3D promptable segmentation networks by Tianyu Xiu, Hanwen Qi, Jiabo Xu, XinLian Liang

“…Abstract The extraction of individual trees from three‐dimensional (3D) forest point clouds plays a pivotal role in forest inventory updates, forest resource management, growth and yield estimation of trees, etc. …”
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3D-CNN with Multi-Scale Fusion for Tree Crown Segmentation and Species Classification by Jiayao Wang, Zhen Zhen, Yuting Zhao, Ye Ma, Yinghui Zhao

“…This study combines deep learning with traditional image segmentation methods to improve individual tree crown detection and species classification. …”
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Metabolic activities are selective modulators for individual segmentation clock processes by Mitsuhiro Matsuda, Jorge Lázaro, Miki Ebisuya

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Individual differences in experiential diversity shape event segmentation granularity by Carl J. Hodgetts, Samuel C. Berry, Mark Postans, Angharad N. Williams

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Individual Tree Segmentation Based on Region-Growing and Density-Guided Canopy 3-D Morphology Detection Using UAV LiDAR Data by Shihua Li, Shunda Zhao, Zhilin Tian, Hao Tang, Zhonghua Su

“…This study proposes a novel method that combines the canopy height model (CHM) and point cloud data for segmenting individual trees and employs height and density information for morphological detection of tree canopies. …”
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Forest Three-Dimensional Reconstruction Method Based on High-Resolution Remote Sensing Image Using Tree Crown Segmentation and Individual Tree Parameter Extraction Model by Guangsen Ma, Gang Yang, Hao Lu, Xue Zhang

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Individual Segmentation of Intertwined Apple Trees in a Row via Prompt Engineering by Herearii Metuarea, François Laurens, Walter Guerra, Lidia Lozano, Andrea Patocchi, Shauny Van Hoye, Helin Dutagaci, Jeremy Labrosse, Pejman Rasti, David Rousseau

“…Segmenting individual apple trees in dense orchard rows is challenging because of the complexity of outdoor illumination and intertwined branches. …”
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Fine-grained individual tree crown segmentation based on high-resolution images by Y. Wang, X. Dou, X. Liang

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An Empirical Study on the Segmentation of Potential Users of Shared Parking Spaces considering Individual Heterogeneity by Ange Wang, Hongzhi Guan, Jun Guo, Yan Han, Hangjin Bian

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SPA-Net: An Offset-Free Proposal Network for Individual Tree Segmentation from TLS Data by Yunjie Zhu, Zhihao Wang, Qiaolin Ye, Lifeng Pang, Qian Wang, Xiaolong Zheng, Chunhua Hu

“…Individual tree segmentation (ITS) from terrestrial laser scanning (TLS) point clouds is foundational for deriving detailed forest structural parameters, crucial for precision forestry, biomass calculation, and carbon accounting. …”
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Object Segmentation and Ground Truth in 3D Embryonic Imaging. by Bhavna Rajasekaran, Koichiro Uriu, Guillaume Valentin, Jean-Yves Tinevez, Andrew C Oates

“…Finally, we propose an original method to generate reliable and experimentally faithful ground truth datasets: Sparse-dense dual-labeled embryo chimeras are used to unambiguously measure segmentation errors within experimental data. Together, the three steps outlined here establish a robust, iterative procedure to fine-tune image analysis algorithms and microscopy settings associated with embryonic 3D image data sets.…”
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TreePseCo: Scaling Individual Tree Crown Segmentation using Large Vision Models by J. Lungo Vaschetti, E. Arnaudo, C. Rossi

“…This paper presents TreePseCo, an adaptation of the PseCo framework leveraging foundation models for automated tree crown segmentation in aerial imagery. Our approach implements a three-stage pipeline: (1) tree center detection using a modified Segment Anything Model (SAM) decoder that generates probability heatmaps, (2) instance mask generation through prompt-guided segmentation utilizing SAM's visual features, and (3) boundary refinement via specialized classification to eliminate false positives. …”
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Individual tree segmentation in occluded complex forest stands through ellipsoid directional searching and point compensation by Qingjun Zhang, Shangshu Cai, Xinlian Liang

“…Quantifying tree-scale attributes from TLS point clouds requires segmentation, yet the occlusion effects severely affect the accuracy of automated individual tree segmentation. …”
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Flatfish lesion detection based on part segmentation approach and lesion image generation by Seo‐Bin Hwang, Han‐Young Kim, Chae‐Yeon Heo, Hie‐Yong Jeong, Sung‐Ju Jung, Yeong‐Jun Cho

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An adaptive method for individual tree segmentation synthesizing canopy cover and competitive mechanism using UAV data by Qiyu Guo, Kangning Li, Xiaojun Qiao, Jinbao Jiang, Yinpeng Zhao

“…Accurate individual tree segmentation (ITS) is crucial for precision forestry and small-scale carbon sink accounting; however, canopy overlap in complex forest stands—particularly in northern plantations, presents substantial challenges for conducting ITS using LiDAR point cloud. …”
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Correlation between individual thigh muscle volume and grip strength in relation to sarcopenia with automated muscle segmentation. by Hyeon Su Kim, Shinjune Kim, Hyunbin Kim, Yonghan Cha, Jung-Taek Kim, Jin-Woo Kim, Yong-Chan Ha, Jun-Il Yoo

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Point-Cloud Instance Segmentation for Spinning Laser Sensors by Alvaro Casado-Coscolla, Carlos Sanchez-Belenguer, Erik Wolfart, Vitor Sequeira

“…To the best of our knowledge, this is the first work that faces the 3D segmentation problem from a 2D perspective without explicitly re-projecting 3D point clouds. …”
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Hidden semi-Markov models to segment reading phases from eye movements by Brice Olivier, Anne Guérin-Dugué, Jean-Baptiste Durand

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Effect of Custom-Made Foot Orthotics on Multi-Segment Foot Kinematics and Kinetics in Individuals with Structural Hallux Limitus by Magdalena Martinez-Rico, Gabriel Gijon-Nogueron, Ana Belen Ortega-Avila, Luis E. Roche-Seruendo, Ana Climent-Pedrosa, Enrique Sanchis-Sales, Kevin Deschamps

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The trunk segmental motion complexity and balance performance in challenging seated perturbation among individuals with spinal cord injury by Mianjia Shan, Chenhao Li, Jiayi Sun, Haixia Xie, Yan Qi, Wenxin Niu, Ming Zhang

“…Motion complexity parameters, quantified across three degrees of freedom, was assessed using relative angular acceleration from six trunk segments obtained through motion capturing system. …”
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