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Precision medical image hash retrieval by interpretability and feature fusion

https://doi.org/10.1016/j.cmpb.2022.106945

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data

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An Efficient Content Based Image Retrieval using an Optimized Neural Network for Medical Application

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Retrieval of head–neck medical images using Gabor filter based on power-law transformation method and rank BHMT

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Deep learning for chest X-ray analysis: A survey

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MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

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COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

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Proceedings of IEEE Conference on Computer Vision and Pattern Recognition

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Deep hashing for compact binary codes learning

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Proceedings of IEEE International Conference on Computer Vision

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Medical Image Retrieval Based on Gray Cluster Co-occurrence Matrix and Edge Strength Levels

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2018 International Conference on Promising Electronic Technologies (ICPET)

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2018 International Joint Conference on Neural Networks (IJCNN)

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Computer-Aided Diagnosis of Mammographic Masses Using Scalable Image Retrieval

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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI

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

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Semi-Supervised Hashing for Large-Scale Search

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Interpretation of Plain Chest Roentgenogram

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Comprehensive Computer-Aided Decision Support Framework to Diagnose Tuberculosis From Chest X-Ray Images: Data Mining Study

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Explainable Deep Learning Models in Medical Image Analysis

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Applications of Machine Learning

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Medical Image Retrieval: Past and Present

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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