Deep triplet hashing network for case-based medical image retrieval

AGE challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

(2020) Huazhu Fu et al.   MEDICAL IMAGE ANALYSIS

Attention gated networks: Learning to leverage salient regions in medical images

(2019) Jo Schlemper et al.   MEDICAL IMAGE ANALYSIS

REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs

(2019) José Ignacio Orlando et al.   MEDICAL IMAGE ANALYSIS

Billion-Scale Similarity Search with GPUs

(2019) Jeff Johnson et al.   IEEE Transactions on Big Data

SIFT Meets CNN: A Decade Survey of Instance Retrieval

(2018) Liang Zheng et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A Survey on Learning to Hash

(2018) Jingdong Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A survey on deep learning in medical image analysis

(2017) Geert Litjens et al.   MEDICAL IMAGE ANALYSIS

Metric hashing forests

(2016) Sailesh Conjeti et al.   MEDICAL IMAGE ANALYSIS

Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification

(2015) Ruimao Zhang et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval

(2012) Yunchao Gong et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Locality-Sensitive Hashing for Finding Nearest Neighbors [Lecture Notes]

(2008) M. Slaney et al.   IEEE SIGNAL PROCESSING MAGAZINE