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Brain CT Database for Content-Based Image Retrieval

Content-based image retrieval for medical image is a main way for computer-aided diagnosis. To storage medical image into the huge databases is its premise. In this paper, we provides efficient approach to develop the archives of large brain CT medical data, including quality control, ensuring consistency/integrity of information, expert verification of institutional findings, image correction, the validation for registration, and region of interest focusing on attention mechanism. The database is highly promising and shows the profit when it is used to implement brain CT image assistant diagnosis systems.