Medical image retrieval using deep convolutional neural network

A Qayyum, SM Anwar, M Awais, M Majid - Neurocomputing, 2017 - Elsevier
With a widespread use of digital imaging data in hospitals, the size of medical image
repositories is increasing rapidly. This causes difficulty in managing and querying these …

A review on optimization techniques for medical image analysis

P Kaur, RK Singh - Concurrency and Computation: Practice …, 2023 - Wiley Online Library
Data mining of medical imaging approaches makes it difficult to determine their value in the
disease's insight, analysis, and diagnosis. Image classification presents a significant …

A survey of medical image classification techniques

E Miranda, M Aryuni… - … international conference on …, 2016 - ieeexplore.ieee.org
Medical informatics is the study that combines two medical data sources: biomedical record
and imaging data. Medical image data is formed by pixels that correspond to a part of a …

Computer-aided diagnosis through medical image retrieval in radiology

W Silva, T Gonçalves, K Härmä, E Schröder… - Scientific reports, 2022 - nature.com
Currently, radiologists face an excessive workload, which leads to high levels of fatigue, and
consequently, to undesired diagnosis mistakes. Decision support systems can be used to …

An efficient content based image retrieval using enhanced multi-trend structure descriptor

S Sathiamoorthy, M Natarajan - SN Applied Sciences, 2020 - Springer
This paper contributes a new variant of multi-trend structure descriptor (MTSD) for efficient
content based image retrieval. The proposed variant of MTSD encodes color/edge …

SiNC: Saliency-injected neural codes for representation and efficient retrieval of medical radiographs

J Ahmad, M Sajjad, I Mehmood, SW Baik - PloS one, 2017 - journals.plos.org
Medical image collections contain a wealth of information which can assist radiologists and
medical experts in diagnosis and disease detection for making well-informed decisions …

A review on content based image retrieval techniques

SK JS - 2023 International Conference on Circuit Power and …, 2023 - ieeexplore.ieee.org
Significant interest in Content-Based Image Retrieval (CBIR) has been identified over the
last two decades, which utilizes image and video perception to find adequate images. The …

Manhattan distance-based histogram of oriented gradients for content-based medical image retrieval

S Veerashetty, NB Patil - International Journal of Computers and …, 2021 - Taylor & Francis
Content-based medical image retrieval (CBMIR) is the emerging research area in the field of
medical image retrieval and analysis. The proposed CBMIR system includes two phases …

Medical image retrieval using a novel local relative directional edge pattern and Zernike moments

G Sucharitha, N Arora, SC Sharma - Multimedia Tools and Applications, 2023 - Springer
The traditional annotation-based medical image retrieval faces a problem with competence
and precision with the extensive medical image databases. Broad research has been …

Medical image retrieval for detecting pneumonia using binary classification with deep convolutional neural networks

A Dureja, P Pahwa - Journal of Information and Optimization …, 2020 - Taylor & Francis
In the concepts of Deep Learning, the ConvNets are a classified group of deep neural
networks that are used to analyze the images. They find their major applications in image …