Optimized Deep Features for Colon Histology Image Retrieval

Recently, deep learning techniques have been widely used in content-based image retrieval (CBIR) due to their success in bridging the "semantic gap" issue. Nevertheless, the high-dimensional features extracted through deep learning models usually lead to a high computational cost. This issue has a major impact especially when it involves the retrieval of medical images, where a short response time...