Vision-based image retrieval (VBIR) : a new eye-tracking based approach to efficient and intuitive image retrieval [PDF]
Essig K. Vision-based image retrieval (VBIR) : a new eye-tracking based approach to efficient and intuitive image retrieval. Bielefeld (Germany): Bielefeld University; 2007.Die vorliegende Arbeit beschreibt einen neuen Ansatz für die inhaltsbasierte ...
Essig, Kai
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Securing content-based image retrieval on the cloud using generative models. [PDF]
Wang Y, Wang FC, Liu F, Wang XH.
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AutoRet: A Self-Supervised Spatial Recurrent Network for Content-Based Image Retrieval. [PDF]
Monowar MM +4 more
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Impact of a content-based image retrieval system on the interpretation of chest CTs of patients with diffuse parenchymal lung disease. [PDF]
Röhrich S +17 more
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Deep features optimization based on a transfer learning, genetic algorithm, and extreme learning machine for robust content-based image retrieval. [PDF]
Bibi R +4 more
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Evaluation of a Novel Content-Based Image Retrieval System for the Differentiation of Interstitial Lung Diseases in CT Examinations. [PDF]
Pogarell T +7 more
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Content-Based Image Retrieval Using Colour, Gray, Advanced Texture, Shape Features, and Random Forest Classifier with Optimized Particle Swarm Optimization. [PDF]
Subramanian M +3 more
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Detection of pneumonia infection in lungs from chest X-ray images using deep convolutional neural network and content-based image retrieval techniques. [PDF]
Rajasenbagam T, Jeyanthi S, Pandian JA.
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Content-Based Image Retrieval of Chest CT with Convolutional Neural Network for Diffuse Interstitial Lung Disease: Performance Assessment in Three Major Idiopathic Interstitial Pneumonias. [PDF]
Hwang HJ +6 more
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