Sentence examples for mining image from inspiring English sources

Population imaging employs computational radiology techniques such as unstructured and structured data mining, image segmentation, and statistical modelling to map and summarise imaging features from large image databases and thus extract meaningful imaging biomarkers [ 38].

The NMF algorithm has broadly been used in text mining, image analysis, speech processing, and automatic control.

High dimensional data exists in a wide variety of real applications, such as text mining, image retrieval, and visual object recognition.

All these difficulties make it necessary to develop novel bioimage informatics algorithms and systems, especially from three aspects: image processing and mining, image database and visualization.

One recent approach that has shown promise for neuroimaging data is deep learning [ 61, 62], a technique which has performed quite well in the area of social network mining, image processing, and digit recognition among others.

The essential techniques to the success of these applications, such as bioimage feature identification, segmentation and tracking, registration, annotation, mining, image data management and visualization, are further summarized, along with a brief overview of the available bioimage databases, analysis tools and other resources.

Thus, these advances have offered important new insights and computational tools for mining image-based gene expression patterns captured by ISH, which we extend by conducting a detailed analysis of the information contained in ISH images, and how it can be captured in a good feature representation format.

More than the escapist theme park of the Cocoon Club, the mine image conveys industrial collapse.

The method has become technically possible because of the tremendous developments in information and communication technologies, improvements in storage capacities, data-mining, image processing, low-cost camera technology, etc. in the last couple of decades.

As with Iconoclashes, Valla mined images from the Met, but also from the Smithsonian and the Autodesk 123D Catch public website.

A tool for data mining and image processing is presented and its application to image mining is shown on the task of Hep-2 cell-image classification.