Characterization of Vegetation Changes in Jiangsu Coastal Wetlands and Analysis of Their Causes by LYU Lin, YU Lingcheng, QIAN Linfeng, CHEN Yanyan, ZHANG Ke, GU Rong, ZHANG Dong

“…In the paper, using a combination of object-oriented image segmentation and random forest classification, the spatial distribution information of Jiangsu coastal wetland ecosystems in 2011, 2016 and 2021 was extracted based on Landsat and Sentinel-2 satellite images, and the spatiotemporal dynamic changes of the wetland vegetation communities and the causes of wetland vegetation changes were analyzed. …”
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MSM-TDE: multi-scale semantics mining and tiny details enhancement network for retinal vessel segmentation by Hongbin Zhang, Jin Zhang, Xuan Zhong, Ya Feng, Guangli Li, Xiong Li, Jingqin Lv, Donghong Ji

“…Abstract Retinal image segmentation is crucial for the early diagnosis of some diseases like diabetes and hypertension. …”
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Features to Text: A Comprehensive Survey of Deep Learning on Semantic Segmentation and Image Captioning by Ariyo Oluwasammi, Muhammad Umar Aftab, Zhiguang Qin, Son Tung Ngo, Thang Van Doan, Son Ba Nguyen, Son Hoang Nguyen, Giang Hoang Nguyen

“…Finally, analysis of the existing methods, their contributions, and relevance are highlighted, informing the importance of these methods and illuminating a possible research continuation for the application of semantic image segmentation and image captioning approaches.…”
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A Novel Diagnostic Aid for Detection of Intra-Abdominal Adhesions to the Anterior Abdominal Wall Using Dynamic Magnetic Resonance Imaging by David Randall, John Fenner, Richard Gillott, Richard ten Broek, Chema Strik, Paul Spencer, Karna Dev Bardhan

“…We describe a technique involving image segmentation and registration to calculate shear as an analogue for visceral slide based on the tracking of structures throughout the respiratory cycle. …”
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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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Multi-Cell Displacement Measurement During the Assembly of Automotive Power Batteries Based on Machine Vision by Yueda Xu, Yanfeng Xing, Hongbo Zhao, Yufang Lin, Lijia Ren, Zhihan Zhou

“…This research focuses on the cell tab, utilizing the hue, saturation, and value (HSV) color space for image segmentation to adaptively extract the cell tab region and further obtain the ROI of the cell tab. …”
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A Real-Time Semantic Segmentation Method of Sheep Carcass Images Based on ICNet by Shida Zhao, Guangzhao Hao, Yichi Zhang, Shucai Wang

“…In addition, we verify the generalization ability of the ICNet for the sheep carcass image dataset by setting different brightness image segmentation experiments. Finally, the U-Net, DeepLabv3, PSPNet, and Fast-SCNN are introduced for comparative experiments to further verify the segmentation performance of the ICNet. …”
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Video completion in the presence of moving subjects based on segmentation using Neutrosophic sets by Amanna Ghanbari Talouki, Abbas Koochari, Seyyed Ahmad Edalatpanah

“…The novelty of the approach lies in several key contributions: 1) the use of Neutrosophic theory to handle spatial and intensity uncertainties, 2) a Neutrosophic-based similarity measure for image segmentation, 3) a new metric for finding the most suitable patch for hole filling, and 4) a novel method for preserving boundaries and uniformity in video completion, particularly in the presence of moving objects. …”
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Deep learning-based skin lesion analysis using hybrid ResUNet++ and modified AlexNet-Random Forest for enhanced segmentation and classification. by Saleem Mustafa, Arfan Jaffar, Muhammad Rashid, Sheeraz Akram, Sohail Masood Bhatti

“…There is a high probability that ResUNet++, which is highly proficient at medical image segmentation, can produce better segmentation of lesions than the simpler models. …”
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An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition by Seetharam Khetavath, Navalpur Chinnappan Sendhilkumar, Pandurangan Mukunthan, Selvaganesan Jana, Lakshmanan Malliga, Subburayalu Gopalakrishnan, Sankuru Ravi Chand, Yousef Farhaoui

“…Hence, this research work intends to develop an efficient hand gesture image recognition system by using advanced image processing techniques. During image segmentation, skin color detection and morphological operations are performed for accurately segmenting the hand gesture portion. …”
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The Visual and Quantitative Study of the Microoccurrence of Irreducible Water at the Pore and Throat System in a Low-Permeability Sandstone Reservoir by Using Microcomputerized Tom... by Xiaoyu Gu, Chunsheng Pu, Hai Huang, Nasir Khan, Jing Liu, Yanlong He, Cheng Jing, Feifei Huang, Aojiang Qi

“…The microflow equipment monitored with micro X-ray computerized tomography (CT) is employed to investigate the microoccurrence of the irreducible water in a low-permeability sandstone core. By means of image segmentation and the three-dimensional (3D) image reconstruction technique, the visual microdistribution characteristics of irreducible water in two-dimensional (2D) slices and the 3D pore-throat system are quantitatively evaluated. …”
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Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes by Cheng C, Wang Y, Zhao J, Wu D, Li H, Zhao H

“…They are extensions of conventional imaging diagnostic methods and have demonstrated tremendous potential in image segmentation, reconstruction, recognition, and classification. …”
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Edge-Preserving Probabilistic Downsampling for Reliable Medical Segmentation in Resource-Constrained Environments by Shahzad Ali, Yu Rim Lee, Soo Young Park, Won Young Tak, Soon Ki Jung

“…Preserving critical information during label downsampling is particularly crucial for medical image segmentation. This study introduces a novel approach, Edge-Preserving Probabilistic Downsampling (EPD), designed to retain critical details and bridge the performance gap between networks trained on original and downsampled resolutions. …”
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Combining a Standardized Growth Class Assessment, UAV Sensor Data, GIS Processing, and Machine Learning Classification to Derive a Correlation with the Vigour and Canopy Volume of... by Ronald P. Dillner, Maria A. Wimmer, Matthias Porten, Thomas Udelhoven, Rebecca Retzlaff

“…To integrate only vine canopy-exclusive features into ML classifications, different feature types were extracted and spatially aggregated (zonal statistics), based on a combined pixel- and object-based image-segmentation-technique-created vine row mask around each single grapevine position. …”
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Application of Video Processing Technology Based on Diffusion Equation Model in Basketball Analysis by Yafeng Feng, Xianguo Liu

“…This article discusses how to apply anisotropic diffusion methods and ideas to video image segmentation. We introduced the classic watershed segmentation algorithm and used forward-backward diffusion to process video images to reduce oversegmentation, introduced the active contour model and its improved GVF Snake, and analyzed the idea of how to use anisotropic diffusion and improve the GVF Snake model to get a new GGVF Snake model. …”
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Automated Audit and Self-Correction Algorithm for Seg-Hallucination Using MeshCNN-Based On-Demand Generative AI by Sihwan Kim, Changmin Park, Gwanghyeon Jeon, Seohee Kim, Jong Hyo Kim

“…Recent advancements in deep learning have significantly improved medical image segmentation. However, the generalization performance and potential risks of data-driven models remain insufficiently validated. …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…Light microscopy was employed to capture cell images from the first day to the 21st day of differentiation. Accurate image segmentation is crucial for analyzing the morphological features of the spheroids during the experimental period and for understanding MSC differentiation dynamics for therapeutic applications. …”
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Association between Visual Acuity and Retinal Layer Metrics in Diabetics with and without Macular Edema by LakshmiPriya Rangaraju, Xuejuan Jiang, J. Jason McAnany, Michael R. Tan, Justin Wanek, Norman P. Blair, Jennifer I. Lim, Mahnaz Shahidi

“…A previously established image segmentation method identified retinal layer interfaces and locations of visually indiscernible (disrupted) interfaces. …”
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Synchrotron X-ray imaging study on the mechanism of solids transfer to bitumen froth during oil sands flotation 1: True flotation by Hanyu Zhang, Liuyin Xia, Ning Zhu, Sergey Gasilov, Iris He, Xiaofan Ding

“…This study introduced an innovative image segmentation technique to quantify the transfer of particles into the bitumen froth via true flotation. …”
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Clinically oriented automatic three-dimensional enamel segmentation via deep learning by Wenting Yu, Xinwen Wang, Huifang Yang

“…A satisfactory image segmentation model is applied to generate a 3D enamel model for each tooth and to calculate the thickness value of individual enclosed 3D enamel meshes using a normal ray-tracing directional method. …”
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