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Segmentation of Images Used in Unmanned Aerial Vehicles Navigation Systems
Published 2023-11-01“…The paper presents the results of the study of a two-stage procedure for selecting a reference object in the current image formed by a correlation-extreme system used for autonomous navigation of unmanned aerial vehicles. …”
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Tooth segmentation on multimodal images using adapted segment anything model
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Segmentation and Isolation of Brain Tumors Using Different Images Segmentation Methods
Published 2024-08-01“…To avoid that, in many cases computer is used as an aided method for the segmentation of brain tumor. …”
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Automatic Identification and Segmentation of Overlapping Fog Droplets Using XGBoost and Image Segmentation
Published 2025-03-01“…For parallel overlapping droplets, the centre-of-mass segmentation method is used; for non-parallel overlapping droplets, the minimum-distance segmentation method is used; and for strong overlapping of a single concave point, the vertical-linkage segmentation method is used. …”
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Automatic Segmentation of the Cisternal Segment of Trigeminal Nerve on MRI Using Deep Learning
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Constructing the Mandarin Phonological Network: Novel Syllable Inventory Used to Identify Schematic Segmentation
Published 2019-01-01“…Phonological edit distance was used to construct sixteen versions of the same network, which we titled phonological segmentation neighborhoods (PSNs). …”
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Segmentation of CAD models using hybrid representation
Published 2025-04-01“…Many previous CAD segmentation methods have achieved impressive performance using single representations, such as meshes, CAD, and point clouds. …”
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POST-HOC SEGMENTATION USING MARKETING RESEARCH
Published 2012-10-01“…Such methods could be used in post-hoc market segmentations, which allow companies to find segments with specific behaviours or attitudes. …”
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Microc alcification Segmentation Using Modified U-net Segmentation Network from Mammogram Images
Published 2022-02-01“…After that, the breast region is segmented from the pectoral region. The suspicious regions are detected using fuzzy C-means clustering algorithm and divided them into negative and positive patches. …”
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Lightweight detection and segmentation of crayfish parts using an improved YOLOv11n segmentation model
Published 2025-07-01Get full text
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Deduplication Used in Data Remote Transmission for Locomotive
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Parcel Segmentation Method Combined YOLOV5s and Segment Anything Model Using Remote Sensing Image
Published 2025-07-01“…Accurate land parcel segmentation in remote sensing imagery is critical for applications such as land use analysis, agricultural monitoring, and urban planning. …”
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Investigation on Dimensionality Reduction methods for Tree-Crown Segmentation in Hyperspectral imagery using Segment Anything Model
Published 2025-07-01“…This study investigates the use of hyperspectral imagery and dimensionality reduction methods for individual tree-crown (ITC) segmentation, a crucial task in forest monitoring. …”
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Semantic segmentation framework for atoll satellite imagery: An in-depth exploration using UNet variants and Segmentation Gym
Published 2025-02-01“…Building on prior efforts to create reproducible research pipelines for aerial image segmentation, we propose a systematic framework for custom segmentation model development using Segmentation Gym, a software tool designed for efficient model experimentation. …”
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Deep learning driven silicon wafer defect segmentation and classification
Published 2025-06-01Subjects: “…Wafer Defect Segmentation and classification using Deep Learning…”
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Using Convolutional Neural Networks for segmentation of brain tumors
Published 2024-12-01“… This paper presents a brain tumor segmentation system for MRI images using Convolutional Neural Networks (CNNs). …”
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Public Segmentation and the Impact of AI Use in E-Rulemaking
Published 2025-06-01“…We show that public segmentation is a key aspect in shaping attitudes and behaviors regarding the use of AI for e-rulemaking purposes. …”
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MUSCLE MRI SEGMENTATION USING RANDOM WALKER METHOD
Published 2016-10-01“…A technique of marker set construction for muscle MRI segmentation using random walker approach is introduced. …”
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Detection and Identification of Dental Caries Using Segmentation Techniques
Published 2025-07-01“…This study tackles the challenge of spotting dental caries using color image analysis. We tested both traditional methods—like Quickshift, Simple Linear Iterative Clustering (SLIC) superpixels, and k-means clustering—combined in the Multi-Step Segmentation with K-Means (MSS-KM) approach, as well as a more advanced deep learning method using YOLOv12 for segmentation. …”
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