Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data

A Kumar, J Kim, W Cai, M Fulham, D Feng - Journal of digital imaging, 2013 - Springer
Medical imaging is fundamental to modern healthcare, and its widespread use has resulted
in the creation of image databases, as well as picture archiving and communication systems …

Searching data: a review of observational data retrieval practices in selected disciplines

K Gregory, P Groth, H Cousijn… - Journal of the …, 2019 - Wiley Online Library
A cross‐disciplinary examination of the user behaviors involved in seeking and evaluating
data is surprisingly absent from the research data discussion. This review explores the data …

An ensemble of fine-tuned convolutional neural networks for medical image classification

A Kumar, J Kim, D Lyndon, M Fulham… - IEEE journal of …, 2016 - ieeexplore.ieee.org
The availability of medical imaging data from clinical archives, research literature, and
clinical manuals, coupled with recent advances in computer vision offer the opportunity for …

A graph-based approach for the retrieval of multi-modality medical images

A Kumar, J Kim, L Wen, M Fulham, D Feng - Medical image analysis, 2014 - Elsevier
In this paper, we address the retrieval of multi-modality medical volumes, which consist of
two different imaging modalities, acquired sequentially, from the same scanner. One such …

Relationship between the metadata and relevance criteria of scientific data

G Zhang, J Wang, J Liu, Y Pan - Data science …, 2021 - account.datascience.codata.org
The purpose of this study is to explore the information retrieval process in scientific data and
to better understand the concepts and internal relationships of metadata and relevance …

Users' relevance criteria for video in leisure contexts

SAA Albassam, I Ruthven - Journal of Documentation, 2018 - emerald.com
Purpose The purpose of this paper is to understand how typical users of YouTube judge the
relevance of videos in leisure contexts; what are the reasons users give when judging video …

Deep Bayesian Quantization for Supervised Neuroimage Search

E Yang, C Deng, M Liu - International Workshop on Machine Learning in …, 2023 - Springer
Neuroimage retrieval plays a crucial role in providing physicians with access to previous
similar cases, which is essential for case-based reasoning and evidence-based medicine …

[PDF][PDF] Searching data: A review of observational data retrieval practices

K Gregory, P Groth, H Cousijn… - Journal of the …, 2017 - researchgate.net
A cross-disciplinary examination of the user behaviours involved in seeking and evaluating
data is surprisingly absent from the research data discussion. This review explores the data …

A content based image retrieval approach based on multiple multimedia features descriptors in e-health environment

AM Rinaldi, C Russo - 2020 IEEE international symposium on …, 2020 - ieeexplore.ieee.org
The extensive digitalization of biomedical images and the implementation of ad hoc digital
infrastructures as Picture Archiving and Communication Systems (PACS) need of novel …

Hybrid Research on Relevance Judgment and Eye Movement for Reverse Image Search

D Wu, C Zhang, A Ainiwaer, S Lv - International Conference on …, 2021 - Springer
Relevance judgment has been studied in the information field for a long time. Eye movement
data contains a large amount of user subjective information, and the way of its collection is …