Enhancing Security in DNP3 Communication for Smart Grids: A Segmented Neural Network Approach by Shahid Allah Bakhsh, Muhammad Shahbaz Khan, Oumaima Saidani, Nada Alasbali, S. Qasim Abbas, Muhammad Almas Khan, Jawad Ahmad

“…A Segmented Neural Network (SNN) architecture is employed to analyze the DNP3 dataset, which is captured using CICFlowMeter3 and a DNP3 Parser, integrating Deep Neural Network (DNN), Long Short Term Memory (LSTM), and Random Neural Network (RandNN) models. …”
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Swarm Intelligence Integrated Graph-Cut for Liver Segmentation from 3D-CT Volumes by Maya Eapen, Reeba Korah, G. Geetha

“…The model is validated both qualitatively (by clinicians and radiologists) and quantitatively on publically available computed tomography (CT) datasets (MICCAI 2007 liver segmentation challenge, 3D-IRCAD). Quantitative evaluation of segmentation results is performed using liver volume calculations and a mean score of 80.8% and 82.5% on MICCAI and IRCAD dataset, respectively, is obtained. …”
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Automated 3D semantic segmentation of PCB X-ray CT images and netlist extraction by Adrian Phoulady, Yara Suleiman, Hongbin Choi, Nicholas May, Sina Shahbazmohamadi, Pouya Tavousi

“…The implications of this approach extend beyond PCBs, finding applications in various physical and biological sciences where 3D image segmentation is crucial. This methodology includes high-resolution 3D imaging, watershed segmentation, machine learning-based semantic segmentation, and netlist extraction. …”
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Prospective 3D Investigation of Bleb Wall after Trabeculectomy Using Anterior-Segment OCT by Fumika Watanabe-Kitamura, Toshihiro Inoue, Sachi Kojima, Kei-Ichi Nakashima, Ayako Fukushima, Hidenobu Tanihara

“…Purpose. We used three-dimensional anterior-segment optical coherence tomography (3D AS-OCT) to evaluate time-dependent posttrabeculectomy changes in bleb wall volume and intensity. …”
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An Enhanced Image Segmentation Technique-Based on Motion Detection Algorithm by Zaid Sh. Bakr, Hamzah M. Marhoon, Ammar Alaythawy

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Detection of fetal congenital heart defects on three-vessel view ultrasound videos by Netzahualcoyotl Hernandez-Cruz, Olga Patey, Bojana Salovic, Divyanshu Mishra, Md Mostafa Kamal Sarker, Aris Papageorghiou, J. Alison Noble

“…Objectives:: To develop a deep learning-based method for segmenting vessels in the three-vessel view (3VV) to characterise the vessels by size and spatial relationships to detect abnormal fetal hearts. …”
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Three-Stage Channel Split Dense Fusion Network for Single Image Deraining by ZHANG Shuting, WANG Changyue, WANG Changzhong, LENG Qiangkui

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Consistency of 3D reconstruction measurements of lower limb torsion at different segments with the CT gold standard by Shouliang Xiong, Yunpeng Luo, Shikuan Zhang, Zhongxuan Wu, Degang Huang, Hongzhou Sun

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Automated non-destructive phenotyping of Camellia oleifera seedlings based on 3D point clouds by Yang Zhou, Yongbin Wang, Wei Long, Tonggui Wu

Subjects: “…3D point clouds…”
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Three dimension printing and Masquelet's induced membrane technique in mandibular segmental defect reconstruction: A case report by XIAO Chenliang, SUN Lijun, HE Xiaoqing, XU Lu, ZHAO Xuda

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Morphological segmentation with tiling light sheet microscopy to quantitatively analyze the three-dimensional structures of spinal motoneurons by Huijie Hu, Dongyue Wang, Yanlu Chen, Liang Gao

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A Method for Measuring Strawberry Leaf Area Based on Three-Dimensional Point Cloud Instance Segmentation by Zhipeng Li, Shusheng Wang, Yuanping Su, Dongyun Yu

“…This study introduces a strawberry three-dimensional point cloud instance segmentation method to address the challenge of stem and leaf instance segmentation in calculating plant leaf area using three-dimensional point cloud data. …”
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Bone Segmentation in Low-Field Knee MRI Using a Three-Dimensional Convolutional Neural Network by Ciro Listone, Diego Romano, Marco Lapegna

Subjects: “…bone segmentation…”
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Accuracy of One-Piece vs. Segmented Three-Dimensional Printed Transfer Trays for Indirect Bracket Placement by Bayan Alyammahi, Amar Hassan Khamis, Ahmed Ghoneima

“…Objective: To assess the accuracy of three-dimensional (3D) printed one-piece vs. multiple segmented transfer trays for indirect bonding techniques in moderate and severe crowding cases. …”
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Predictors of health related quality of life three years after myocardial infarction with ST segment elevation by Lović Milan B.

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Automatic Scan-to-BIM—The Impact of Semantic Segmentation Accuracy by Jidnyasa Patil, Mohsen Kalantari

Subjects: “…semantic segmentation…”
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Application of Generative Adversarial Networks Based on Global and Local Feature Information in Hippocampus Segmentation by WEI Zhihong, KONG Xudong, KONG Yan, YAN Shiju, DING Yang, WEI Xianding, KONG Dong, YANG Bo

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An Effective 3D Instance Map Reconstruction Method Based on RGBD Images for Indoor Scene by Heng Wu, Yanjie Liu, Chao Wang, Yanlong Wei

“…Next, we perform semantic and geometric segmentation on the color and depth images of these keyframes, respectively, using semantic segmentation to optimize the geometric segmentation results and address inaccuracies in the target segmentation caused by small depth variations. …”
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The Primary Cilia are Associated with the Axon Initial Segment in Neurons by Han Wang, Yu Li, Xin Li, Zehui Sun, Fengdan Yu, Abolghasem Pashang, Don Kulasiri, Hung Wing Li, Huan Chen, Hongwei Hou, Yan Zhang

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SegR3D: A Multi-Target 3D Visualization System for Realistic Volume Rendering of Meningiomas by Jiatian Zhang, Chunxiao Xu, Xinran Xu, Yajing Zhao, Lingxiao Zhao

“…It incorporates a 3D medical image segmentation pipeline, which preprocesses the data via semi-supervised learning-based multi-target segmentation to generate masks of the lesion areas. …”
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