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Medical Imaging Retrieval Based on Multi-Frequency Information and Angular Center Triplet Hashing

https://doi.org/10.2139/ssrn.4757417
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inferredcites →https://doi.org/10.1007/978-3-030-00928-1_70openalex-extracted
Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval
inferredcites →https://doi.org/10.1007/978-3-030-59710-8_19openalex-extracted
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_31openalex-extracted
A Discriminative Feature Learning Approach for Deep Face Recognition
inferredcites →https://doi.org/10.1007/978-3-319-54181-5_5openalex-extracted
Deep Supervised Hashing with Triplet Labels
inferredcites →https://doi.org/10.1007/978-3-319-66179-7_62openalex-extracted
Hashing with Residual Networks for Image Retrieval
inferredcites →https://doi.org/10.1007/978-3-319-66179-7_63openalex-extracted
Deep Multiple Instance Hashing for Scalable Medical Image Retrieval
inferredcites →https://doi.org/10.1007/978-3-642-02172-5_2openalex-extracted
Large Scale Online Learning of Image Similarity through Ranking
inferredcites →https://doi.org/10.1007/s11280-021-00881-8openalex-extracted
Deep medical cross-modal attention hashing
inferredcites →https://doi.org/10.1016/j.cmpb.2022.106945openalex-extracted
Precision medical image hash retrieval by interpretability and feature fusion
inferredcites →https://doi.org/10.1016/j.compbiomed.2023.106633openalex-extracted
Multi-scale Triplet Hashing for Medical Image Retrieval
inferredcites →https://doi.org/10.1016/j.eswa.2023.120169openalex-extracted
A novel Siamese deep hashing model for histopathology image retrieval
inferredcites →https://doi.org/10.1016/j.ijmedinf.2003.11.024openalex-extracted
A review of content-based image retrieval systems in medical applications—clinical benefits and future directions
inferredcites →https://doi.org/10.1016/j.media.2017.09.007openalex-extracted
Large-scale retrieval for medical image analytics: A comprehensive review
inferredcites →https://doi.org/10.1016/j.media.2017.10.005openalex-extracted
Landmark-based deep multi-instance learning for brain disease diagnosis
inferredcites →https://doi.org/10.1016/j.media.2021.101981openalex-extracted
Deep triplet hashing network for case-based medical image retrieval
inferredcites →https://doi.org/10.1016/j.neucom.2017.05.025openalex-extracted
Medical image retrieval using deep convolutional neural network
inferredcites →https://doi.org/10.1016/j.patcog.2017.05.010openalex-extracted
Feature extraction from histopathological images based on nucleus-guided convolutional neural network for breast lesion classification
inferredcites →https://doi.org/10.1109/bibm49941.2020.9313536openalex-extracted
Attention-based Saliency Hashing for Ophthalmic Image Retrieval
inferredcites →https://doi.org/10.1109/cvpr.2005.202openalex-extracted
Learning a Similarity Metric Discriminatively, with Application to Face Verification
inferredcites →https://doi.org/10.1109/cvpr.2012.6247912openalex-extracted
Supervised hashing with kernels
inferredcites →https://doi.org/10.1109/cvpr.2015.7298947openalex-extracted
Simultaneous feature learning and hash coding with deep neural networks
inferredcites →https://doi.org/10.1109/cvpr.2016.227openalex-extracted
Deep Supervised Hashing for Fast Image Retrieval
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-extracted
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00134openalex-extracted
Deep Cauchy Hashing for Hamming Space Retrieval
inferredcites →https://doi.org/10.1109/cvpr.2019.00306openalex-extracted
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00960openalex-extracted
Probability Weighted Compact Feature for Domain Adaptive Retrieval
inferredcites →https://doi.org/10.1109/iccv.2017.283openalex-extracted
Deep Metric Learning with Angular Loss
inferredcites →https://doi.org/10.1109/iccv.2017.598openalex-extracted
HashNet: Deep Learning to Hash by Continuation
inferredcites →https://doi.org/10.1109/iccv.2019.00353openalex-extracted
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution
inferredcites →https://doi.org/10.1109/iccv48922.2021.01187openalex-extracted
Self-supervised Product Quantization for Deep Unsupervised Image Retrieval
inferredcites →https://doi.org/10.1109/icpr56361.2022.9956369openalex-extracted
Deep Semantic Ranking Hashing Based on Self-Attention for Medical Image Retrieval
inferredcites →https://doi.org/10.1109/jbhi.2021.3082531openalex-extracted
Combating Ambiguity for Hash-Code Learning in Medical Instance Retrieval
inferredcites →https://doi.org/10.1109/jrfid.2022.3209986openalex-extracted
DenseHashNet: A Novel Deep Hashing for Medical Image Retrieval
inferredcites →https://doi.org/10.1109/lsp.2022.3165426openalex-extracted
Dual Distance Optimized Deep Quantization With Semantics-Preserving
inferredcites →https://doi.org/10.1109/msp.2007.914237openalex-extracted
Locality-Sensitive Hashing for Finding Nearest Neighbors [Lecture Notes]
inferredcites →https://doi.org/10.1109/tcsvt.2020.3035775openalex-extracted
Unsupervised Deep K-Means Hashing for Efficient Image Retrieval and Clustering
inferredcites →https://doi.org/10.1109/tcsvt.2021.3080920openalex-extracted
A Decade Survey of Content Based Image Retrieval Using Deep Learning
inferredcites →https://doi.org/10.1109/tip.2020.3011796openalex-extracted
Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method
inferredcites →https://doi.org/10.1109/tmi.2020.3030752openalex-extracted
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval
inferredcites →https://doi.org/10.1109/tmm.2017.2729400openalex-extracted
Retrieval From and Understanding of Large-Scale Multi-modal Medical Datasets: A Review
inferredcites →https://doi.org/10.1109/tmm.2020.2991513openalex-extracted
Deep Loss Driven Multi-Scale Hashing Based on Pyramid Connected Network
inferredcites →https://doi.org/10.1109/tpami.2012.193openalex-extracted
Iterative Quantization: A Procrustean Approach to Learning Binary Codes for Large-Scale Image Retrieval
inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-extracted
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1145/3474085.3475570openalex-extracted
A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing
inferredcites →https://doi.org/10.1145/3510004openalex-extracted
Deeply Activated Salient Region for Instance Search
inferredcites →https://doi.org/10.1145/3532624openalex-extracted
A Survey on Deep Hashing Methods
inferredcites →https://doi.org/10.3390/jcm8040462openalex-extracted
Effective Diagnosis and Treatment through Content-Based Medical Image Retrieval (CBMIR) by Using Artificial Intelligence
inferredcites →https://doi.org/10.4018/978-1-7998-0182-5.ch009openalex-extracted
Application of Content-Based Image Retrieval in Medical Image Acquisition
inferredcites →https://doi.org/10.48550/arxiv.1502.03167openalex-extracted
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
inferredcites →https://doi.org/10.48550/arxiv.1703.07737openalex-extracted
In Defense of the Triplet Loss for Person Re-Identification
inferredcites →https://doi.org/10.48550/arxiv.1811.00202openalex-extracted
Attention-Aware Generalized Mean Pooling for Image Retrieval
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