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Document type:
Konferenzbeitrag
Author(s):
Conjeti, S.; Paschali, M.; Katouzian, A.; Navab, N.
Title:
Deep Multiple Instance Hashing for Scalable Medical Image Retrieval
Abstract:
In this paper, for the first time, we introduce a multiple instance (MI) deep hashing technique for learning discriminative hash codes with weak bag-level supervision suited for large-scale retrieval. We learn such hash codes by aggregating deeply learnt hierarchical representations across bag members through an MI pool layer. For better trainability and retrieval quality, we propose a two-pronged approach that includes robust optimization and training with an auxiliary single instance hashing a...     »
Keywords:
MICCAI,Deep Learning,Multiple Instance Learning,Hashing,Retrieval,published
Book / Congress title:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2017 - 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III
Year:
2017
Pages:
550--558
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