Enhancing Road Scene Segmentation With an Optimized DeepLabV3+ by Zhe Ren, Libao Wang, Tianming Song, Yihang Li, Jian Zhang, Fengfeng Zhao

“…To address these issues, this paper proposes an enhanced road scene segmentation method based on DeepLabV3+ that addresses the common trade-offs between accuracy and real-time performance in existing approaches. …”
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Breast cancer ultrasound image segmentation using improved 3DUnet++ by Saba Hesaraki, Abdul Sajid Mohammed, Mehrshad Eisaei, Ramin Mousa

“…The UNet++ approach on the dataset of the Tumor Segmentation, Classification, and Detection Challenge on Automated 3D Breast Ultrasound 2023 (Named TSCD-ABUS2023) was able to achieve Accuracy ​= ​0.9911 and AUROC ​= ​0.9761 in classification and Dice ​= ​0.4930 in segmentation.…”
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Spatiotemporal Contextual 3D Semantic Segmentation for Intelligent Outdoor Mining by Wenhao Yang, Liqun Kuang, Song Wang, Xie Han, Rong Guo, Yongpeng Wang, Haifeng Yue, Tao Wei

Subjects: “…3D semantic segmentation…”
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Contribution of 3D visualization and printing in teaching lung segments anatomy by Gabrielle Drevet, Valentin Soldea, Sylvain Gouttard, Melia Virely, Jean-Michel Maury, François Tronc

Subjects: “…Lung segments…”
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Individual tree extraction through 3D promptable segmentation networks by Tianyu Xiu, Hanwen Qi, Jiabo Xu, XinLian Liang

“…In this paper, inspired by the Segment Anything Model (SAM) and prompt‐driven paradigm, we propose a novel approach to forest point cloud instance segmentation, called the 3D Promptable Segmentation Network (3DPS‐Net). …”
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Deep learning-based segmentation of 3D ultrasound images of the thyroid by Roxane Munsterman, Tim Boers, Sicco J. Braak, Jelmer M. Wolterink, Michel Versluis, Srirang Manohar

Subjects: “…3D ultrasound…”
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3D Scene Segmentation: A Comprehensive Survey and Open Problems by Slavcho Neshev, Krasimir Tonchev, Agata Manolova, Vladimir Poulkov

Subjects: “…3D indoor scene 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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SlicerBatchBrainMRTumorSegmentation: Automating brain tumor segmentation in 3D slicer for improved efficiency and research support by Saima Safdar, Nathaniel Barry, Michael Bynevelt, Suki Gill, Pejman Rowshan Farzad, Martin A Ebert

Subjects: “…3D slicer…”
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DTNLS: 3D Point Cloud Segmentation Based on 2D Image and 3D Point Cloud Double Texture Feature by Zhiguang Liu, Xiaoxiao Yan, Jiahui Zhao, Yong Shi, Fei Yu, Jian Zhao

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3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network. by Tingting Wang, Tong Wu, Defu Yang, Ying Xu, Dongyang Lv, Tong Jiang, Hengjiao Wang, Qi Chen, Shengnan Xu, Ying Yan, Baoguang Lin

“…<h4>Purpose</h4>To enhance glioma segmentation, a 3D-MRI intelligent glioma segmentation method based on deep learning is introduced. …”
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3D-MRI brain glioma intelligent segmentation based on improved 3D U-net network by Tingting Wang, Tong Wu, Defu Yang, Ying Xu, Dongyang Lv, Tong Jiang, Hengjiao Wang, Qi Chen, Shengnan Xu, Ying Yan, Baoguang Lin

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

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Interactive 3D segmentation for primary gross tumor volume in oropharyngeal cancer by Mikko Saukkoriipi, Jaakko Sahlsten, Joel Jaskari, Lotta Orsmaa, Jari Kangas, Nastaran Rasouli, Roope Raisamo, Jussi Hirvonen, Helena Mehtonen, Jorma Järnstedt, Antti Mäkitie, Mohamed Naser, Clifton Fuller, Benjamin Kann, Kimmo Kaski

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3D segmentation of uterine fibroids based on deep supervision and an attention gate by ZhiWei Liu, ChengNv Sun, ChengWei Li, FaJin Lv, FaJin Lv

“…To solve these problems, this paper proposes a 3D DA- VNet automatic segmentation method based on deep supervision and attention gate.MethodsThis method can accurately segment uterine fibroids in MRI images by convolutional information. …”
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Semantic segmentation of 3D point cloud based on contextual attention CNN by Jun YANG, Jisheng DANG

Subjects: “…3D point cloud…”
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AI-Driven Background Segmentation for High-Throughput 3D Plant Scans by Serkan Kartal, Jan Masner, Jana Kholova, Alexander Galba, Tharanya Murugesan, Rekha Baddam, Vojtech Mikes, Eva Kanska

Subjects: “…Background segmentation…”
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Improving 3D deep learning segmentation with biophysically motivated cell synthesis by Roman Bruch, Mario Vitacolonna, Elina Nürnberg, Simeon Sauer, Rüdiger Rudolf, Markus Reischl

“…Abstract Biomedical research increasingly relies on three-dimensional (3D) cell culture models and artificial-intelligence-based analysis can potentially facilitate a detailed and accurate feature extraction on a single-cell level. …”
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An effective and open source interactive 3D medical image segmentation solution by Yi Gao, Xiaohui Chen, Qinzhu Yang, Andras Lasso, Ivan Kolesov, Steve Pieper, Ron Kikinis, Allen Tannenbaum, Liangjia Zhu

“…Abstract 3D medical image segmentation is a key step in numerous clinical applications. …”
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Lost Motion Analysis of Micro-segment 3K-I Planetary Gear by Kang Huang, Lingkun Zhu, Meng Sang, Qining Wang

“…Aiming at 3K-I planetary gear train， the theoretical calculation lost motion of micro-segment gear is 5.92% smaller than involute gear by Monte Carlo simulation. …”
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