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2341
Image Segmentation Method of Chinese Yam Leaves in Complex Background Based on Improved ENet
Published 2024-11-01Subjects: Get full text
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2342
Endoscopic mucosal resection defect inspection for predicting recurrences: International image-based survey
Published 2025-01-01Get full text
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2343
A Compact, Portable Device for Microscopic Magnetic Imaging Based on Diamond Quantum Sensors
Published 2025-01-01Subjects: “…magnetic imaging…”
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2344
Clustering OKU Timur Script Images using VGG Feature extraction and K-Means
Published 2024-12-01Subjects: Get full text
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2345
Low Tensor Rank Constrained Image Inpainting Using a Novel Arrangement Scheme
Published 2024-12-01Subjects: “…image inpainting…”
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2346
A Morphological Model for Extracting Road Networks from High-Resolution Satellite Images
Published 2013-01-01“…The major steps in the model are the enhancement of the image, the segmentation of the enhanced image, the application of the morphological operators, and finally the extraction of the road network. …”
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2347
Multibit image watermarking algorithm resistant to geometric attacks based on level set method
Published 2011-01-01Get full text
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2348
Ultra-wideband (UWB) antennas for breast cancer detection with microwave imaging: A review
Published 2025-03-01Subjects: Get full text
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2349
Pitting Detection and Characterization From Ultrasound Timelapse Images Using Convolutional Neural Networks
Published 2024-01-01Subjects: “…2-D timelapse image…”
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2350
Developing a Strategy for Interventional Molecular Imaging of Oxidized Low-Density Lipoprotein in Atherosclerosis
Published 2017-08-01“…Molecular Imaging…”
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2351
EFFICIENT RETINAL IMAGE SEGMENTATION BY U-NET FOR AGE-RELATED MACULAR DEGENERATION DIAGNOSIS
Published 2024-12-01Subjects: “…biomedical imaging, age-related macular degeneration, deep learning, image analysis, macular deterioration…”
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2352
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2353
Improving Medical Image Quality Using a Super-Resolution Technique with Attention Mechanism
Published 2025-01-01“…Image quality plays a critical role in medical image analysis, significantly impacting diagnostic outcomes. …”
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2354
Biological Evaluation of Platinum(II) Sulfonamido Complexes: Synthesis, Characterization, Cytotoxicity, and Biological Imaging
Published 2022-01-01“…Further, C1 and C2 showed significantly low IC50 values compared with N(SO2azobenz)dpa and PtCl2(N(SO2quin)dpa). Fluorescence imaging data of both ligands and complexes revealed the potential fluorescence activity of these compounds for biological imaging. …”
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2355
MaDis-Stereo: Enhanced Stereo Matching via Distilled Masked Image Modeling
Published 2025-01-01Subjects: Get full text
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2356
Deep learning solutions for inverse problems in advanced biomedical image analysis on disease detection
Published 2024-08-01Subjects: “…Biomedical image analysis…”
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2357
Imaging study of adult coccygeal morphology using direct digital radiography technology in China
Published 2025-02-01“…Modified coccyx morphology classification was applied. Imaging focused on the type of coccyx and the number of coccygeal segments. …”
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2358
Vision transformers for automated detection of diabetic peripheral neuropathy in corneal confocal microscopy images
Published 2025-02-01Subjects: Get full text
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2359
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2360
Research on agricultural IoT pest and disease image recognition algorithm based on STM32
Published 2023-12-01“…In modern agriculture IoT systems, edge computing is an indispensable component.In this context, it is feasible to deploy lightweight pest and disease image recognition tasks on edge devices.However, due to the constraints of device computation and storage capabilities, this task faces significant challenges.To address these challenges, an economically practical method was proposed for pest and disease image recognition on STM32 edge devices.Specifically, the MobileNetv2 structure was improved to better suit the characteristics of STM32, quantization-aware training technique was used to compresses the network, model portability was enhanced.Meanwhile, the X-CUBE-AI was used to arrange the model and evaluate the performance.Experimental results demonstrate that the proposed model not only ensures image classification accuracy but also reduces the Flash and RAM resource consumption on STM32 compared to other lightweight networks.…”
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