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Found 5 papers, 2 papers with code
Attention Model Enhanced Network for Classification of Breast Cancer Image
In this study, we propose a novel method named Attention Model Enhanced Network (AMEN), which is formulated in a multi-branch fashion with pixel-wised attention model and classification submodular.
Learning Binary Semantic Embedding for Histology Image Classification and Retrieval
With the development of medical imaging technology and machine learning, computer-assisted diagnosis which can provide impressive reference to pathologists, attracts extensive research interests.
Reinforcing Short-Length Hashing
Due to the compelling efficiency in retrieval and storage, similarity-preserving hashing has been widely applied to approximate nearest neighbor search in large-scale image retrieval.
Mutual Linear Regression-based Discrete Hashing
Label information is widely used in hashing methods because of its effectiveness of improving the precision.
Fusion Hashing: A General Framework for Self-improvement of Hashing
In this paper, in contrast to existing hashing methods, we propose a novel generalized framework called fusion hashing (FH) to improve the precision of existing hashing methods without adding new constraints or penalty terms.
Data Structures and Algorithms Multimedia
