IEEE AccessGround Penetrating Radar (GPR) is an effective non-destructive detection method, that is frequently utilized in the detection of urban underground defects because of its quick speed, convenient and flexible operation, and high resolution.
Niannian Wang +4 more
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Fuzzy SLIC: Fuzzy Simple Linear Iterative Clustering [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2021 12 pages, 14 figures. This paper has been accepted as a Transactions Paper for publication by IEEE Transactions on Circuits and Systems for Video ...
Chong Wu +6 more
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SLIC-Occ: functional segmentation of occupancy images improves precision of EC50 images [PDF]
EJNMMI Physics, 2023 Background Drug occupancy studies with positron emission tomography imaging are used routinely in early phase drug development trials. Recently, our group introduced the Lassen Plot Filter, an extended version of the standard Lassen plot to estimate ...
Alaaddin Ibrahimy +6 more
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TSSP-UNet: A Two-Stage Weakly Supervised Pathological Image Segmentation With Point Annotations. [PDF]
IET Syst BiolDeep convolutional neural networks excel at image segmentation but face challenges with complex instance training and high‐precision annotation acquisition. This study proposes TSSP‐UNet, a two‐stage weakly supervised segmentation approach: the first stage trains a segmentation network with constraint and attention mechanisms plus a feature aggregation
Wang S +5 more
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Graph Neural Network-Based Multi-Scale Whole Slide Image Fusion for pT Staging of Muscle-Invasive Bladder Cancer. [PDF]
Cancer SciAccurate pT staging in muscle‐invasive bladder cancer is essential for treatment and prognosis, but current methods rely on time‐consuming and variable microscopic evaluation. We developed a graph neural network–based model that integrates multi‐scale whole‐slide images to automate pT staging, achieving excellent performance with an AUC of 0.911 and ...
Li Q, Chen QF, Liao NQ.
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Legume content estimation from UAV image in grass-legume meadows: comparison methods based on the UAV coverage vs. field biomass [PDF]
Scientific ReportsLegume content (LC) in grass-legume mixtures is important for assessing forage quality and optimizing fertilizer application in meadow fields. This study focuses on differences in LC measurements obtained from unmanned aerial vehicle (UAV) images and ...
Kensuke Kawamura +10 more
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Artificial Intelligence-Based Approaches for Brain Tumor Segmentation in MRI: A Review. [PDF]
NMR BiomedManually segmenting brain tumors in magnetic resonance imaging is a time‐consuming task that requires years of professional experience and clinical expertise. We proposed a study, which contains a comprehensive review of the brain tumor segmentation techniques. It selects the effective approaches to better understand the AI applications for brain tumor
Bibi K +9 more
europepmc +2 more sources
Sagittal balance parameters measurement on cervical spine MR images based on superpixel segmentation [PDF]
Frontiers in Bioengineering and BiotechnologyIntroduction: Magnetic Resonance Imaging (MRI) is essential in diagnosing cervical spondylosis, providing detailed visualization of osseous and soft tissue structures in the cervical spine.
Yi-Fan Zhong +38 more
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Content-Aware SLIC Super-Pixels for Semi-Dark Images (SLIC++)
Sensors, 2022 Super-pixels represent perceptually similar visual feature vectors of the image. Super-pixels are the meaningful group of pixels of the image, bunched together based on the color and proximity of singular pixel.
Manzoor Ahmed Hashmani +5 more
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IMPROVING ACTIVE QUERIES WITH A LOCAL SEGMENTATION STEP AND APPLICATION TO LAND COVER CLASSIFICATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Active queries is an active learning method used for classification of remote sensing images. It consists of three steps: hierarchical clustering, dendrogram division, and active label selection.
S. Wuttke, W. Middelmann, U. Stilla
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