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Non‐Invasive Photoacoustic Cerebrovascular Monitoring of Early‐Stage Ischemic Strokes In Vivo
Published 2025-01-01Subjects: “…brain imaging…”
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Mathematics in Biomedical Imaging
Published 2007-01-01“…International Journal of Biomedical Imaging…”
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Imaging and Documenting Gammarideans
Published 2011-01-01“…In addition, we present software-based enhancing tools such as image fusion and image stitching.…”
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Image à suivre
Published 2017-06-01“…Flaubert belongs to the generation of lost images: no more romantic comparisons weaving correspondences and expressing the harmony of Creation. …”
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Film and Television Animation Sensing and Visual Image by Computer Digital Image Technology
Published 2022-01-01“…In order to study the application of computer digital image processing technology in film and television (FAT) animation visual sensing expression, by studying the principle of digital image processing technology and visual sensing technology, a spatial image adaptive steganography image enhancement algorithm by multiscale filters is proposed to carry out enhancement processing of the original image in FAT production. …”
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Hepatocellular Carcinoma: Imaging Advances in 2024 with a Focus on Magnetic Resonance Imaging
Published 2025-01-01Subjects: Get full text
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How to Measure Leaf Disease Damage Using Image Analysis in ImageJ
Published 2020-09-01Subjects: “…Image analysis…”
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Detection of weeds in vegetables using image classification neural networks and image processing
Published 2025-01-01Subjects: Get full text
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Modern Trends in Imaging IX: Biophotonics Techniques for Structural and Functional Imaging, In Vivo
Published 2012-01-01“…In vivo optical imaging is being conducted in a variety of medical applications, including optical breast cancer imaging, functional brain imaging, endoscopy, exercise medicine, and monitoring the photodynamic therapy and progress of neoadjuvant chemotherapy. …”
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Image Recognition Method of Agricultural Pests Based on Multisensor Image Fusion Technology
Published 2022-01-01“…This article aims to combine multifeature fusion technology with sensors to apply to crop pest detection and build crop pest detection services based on image recognition. In terms of image recognition, the use of image denoising methods based on median filtering, image preprocessing methods based on the maximum between-class error method (Otsu), image segmentation methods based on super green features, and feature extraction methods based on multiparameter features and based on the one-to-one elimination strategy and the M-SVM multiclass recognition algorithm fused with the kernel function, it realizes the identification and detection of six soybean leaf borers. …”
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