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Deep Convolutional Hashing for Low Dimensional Binary Embedding of Histopathological Images

Compact binary representations of histopathology images using hashing methods provide efficient approximate nearest neighbor search for direct visual query in large-scale databases. They can be utilized to measure the probability of the abnormality of the query image based on the retrieved similar c...

詳細記述

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書誌詳細
出版年:IEEE J Biomed Health Inform
主要な著者: Sapkota, Manish, Shi, Xiaoshuang, Xing, Fuyong, Yang, Lin
フォーマット: Artigo
言語:Inglês
出版事項: 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC6429565/
https://ncbi.nlm.nih.gov/pubmed/29993648
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JBHI.2018.2827703
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