“…The authors reviewed the past development and the present state of medical image retrieval systems including text-based and content-based systems. …”
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“…BACKGROUND: The first step to properly designing image retrieval systems with the aim of meeting the needs of students and researchers is to be fully aware of their behavior in the face of these systems and image resources. …”
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“…A complete texture image retrieval system includes two techniques: texture feature extraction and similarity measurement. …”
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“…For solving these problems, we discuss and research the application of similar image retrieval in electronic commerce. Aiming at improving the network customers' experience and providing merchants with the accuracy of advertising, we design a reasonable and extensive electronic commerce application system, which includes three subsystems: image search display subsystem, image search subsystem, and product information collecting subsystem. …”
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“…In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning. …”
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“…The paper deals with the problem of semantic Image Retrieval. Indeed, the image has recently gained popularity in several domains such as medical domain, marketing, etc. …”
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“…The study validates the potential of neuromorphic computing in low-power image retrieval, as a complementary paradigm to the existing von Neumann architectures.…”
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“…Content-based image retrieval (CBIR) has been proposed as key technology for computer-aided diagnostics (CAD). …”
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“…The results from experiments show a considerable improvement when compared to other recent techniques in the image retrieval.…”
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“…Extracting visual features for image retrieval by mimicking human cognition remains a challenge. …”
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“…In recent years, learning-based hashing techniques have proven to be efficient for large-scale image retrieval. However, since most of the hash codes learned by deep hashing methods contain repetitive and correlated information, there are some limitations. …”
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“…Deep hashing method is widely applied in the field of image retrieval because of its advantages of low storage consumption and fast retrieval speed. …”
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“…The main challenge in wine label image retrieval task is that there are a large number of wine brands with the imbalance of their sample images which strongly affects the training of the retrieval system based on deep learning. …”
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“…We have created a content-based image retrieval framework for computed tomography images of pulmonary nodules. …”
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“…Exploitation on the use of linear combinations for image retrieval has been attempted by combining visual and textual sources of images. …”
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“…Content-based medical image retrieval continues to gain attention for its potential to assist radiological image interpretation and decision making. …”
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“…BACKGROUND: The development of digital imaging technology is creating extraordinary levels of accuracy that provide support for improved reliability in different aspects of the image analysis, such as content-based image retrieval, image segmentation, and classification. …”
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“…METHOD: This work presents an image retrieval framework for inter-examination retargeting. …”
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