“…The paper proposes a federated content-based medical image retrieval (FedCBMIR) tool that utilizes federated learning (FL) to address the challenges of acquiring a diverse medical data set for training CBMIR models. …”
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“…A tremendous amount of work has been conducted in content-based image retrieval (CBIR) on designing effective index structure to accelerate the retrieval process. …”
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“…CONTEXT: Content-based image retrieval (CBIR) systems allow for retrieval of images from within a database that are similar in visual content to a query image. …”
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“…In Content-Based Image Retrieval (CBIR), high-level visual information is represented in the form of low-level features. …”
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“…This paper presents modeling approaches performed to automatically classify and annotate radiographs using several classification schemes, which can be further applied for automatic content-based image retrieval (CBIR) and computer-aided diagnosis (CAD). …”
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“…Riding the wave of visual sensor equipment (e.g., personal smartphones, home security cameras, vehicle cameras, and camcorders), image retrieval (IR) technology has received increasing attention due to its potential applications in e-commerce, visual surveillance, and intelligent traffic. …”
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“…It aims to enhance the performance of text-based image retrieval by boosting the rank of relevant images using visual information. …”
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“…We present a method that enables the conversion of any convolutional neural network (trained for classification) into an image retrieval model. As a proof of concept, we converted a pre-trained deep learning model into an image retrieval system. …”
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“…OBJECTIVES: To compare the diagnostic accuracy obtained by using content‐based image retrieval (CBIR) to retrieve visually similar dermatoscopic images with corresponding disease labels against predictions made by a neural network. …”
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“…Day by day, all the research communities have been focusing on digital image retrieval due to more internet and social media uses. …”
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“…Experimental results show that the SRDML approach can obtain satisfactory retrieval performance and achieve accurate brain MRI image retrieval.…”
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“…Image texture analysis is a dynamic area of research in computer vision and image processing, with applications ranging from medical image analysis to image segmentation to content-based image retrieval and beyond. “Quinary encoding on mesh patterns (MeQryEP)” is a new approach to extracting texture features for indexing and retrieval of biomedical images, which is implemented in this work. …”
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“…In this paper, we propose a material translation method based on NST with automatic style image retrieval. The proposed CNN-feature-based image retrieval aims to find the ideal reference image that best translates the material of an object. …”
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“…Zero-shot sketch-based image retrieval (ZS-SBIR) is an important computer vision problem. …”
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“…Image search systems could be endangered by adversarial attacks and data perturbations. The image retrieval system can be compromised either by distorting the query or hacking the ranking system. …”
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“…With great potential for assisting radiological image interpretation and decision making, content-based image retrieval in the medical domain has become a hot topic in recent years. …”
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“…Feature coding and pooling as a key component of image retrieval have been widely studied over the past several years. …”
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