Human-centered tools for coping with imperfect algorithms during medical decision-making

CJ Cai, E Reif, N Hegde, J Hipp, B Kim… - Proceedings of the …, 2019 - dl.acm.org
Machine learning (ML) is increasingly being used in image retrieval systems for medical
decision making. One application of ML is to retrieve visually similar medical images from …

A mobile butterfly-watching learning system for supporting independent learning

YS Chen, TC Kao, GJ Yu… - The 2nd IEEE International …, 2004 - ieeexplore.ieee.org
In this paper, we describe the development of a mobile butterfly-watching learning (BWL)
system which supports independent learners by offering a new pattern of outdoor mobile …

[HTML][HTML] Intelligent retrieval and classification in three-dimensional biomedical images—a systematic mapping

LCC Bergamasco, FLS Nunes - Computer Science Review, 2019 - Elsevier
The massive generation of data has raised new research topics, such as methods to store
and to retrieve large volumes of information. Some medical image modalities, such as …

Local structure-based region-of-interest retrieval in brain MR images

D Unay, A Ekin, RS Jasinschi - IEEE Transactions on …, 2010 - ieeexplore.ieee.org
The aging population and the growing amount of medical data have increased the need for
automated tools in the neurology departments. Although the researchers have been …

Texture based medical image indexing and retrieval: application to cardiac imaging

T Glatard, J Montagnat, IE Magnin - Proceedings of the 6th ACM SIGMM …, 2004 - dl.acm.org
Although digital images indexing and querying techniques have extensively been studied
for the last years, few systems are dedicated to medical images today while the need for …

Realizing outdoor independent learning with a butterfly-watching mobile learning system

YS Chen, TC Kao, JP Sheu - Journal of Educational …, 2005 - journals.sagepub.com
In this article, we describe the development of a mobile butterfly-watching learning (BWL)
system to realize outdoor independent learning for mobile learners. The mobile butterfly …

Self-supervised learning of pose embeddings from spatiotemporal relations in videos

O Sumer, T Dencker, B Ommer - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Human pose analysis is presently dominated by deep convolutional networks trained with
extensive manual annotations of joint locations and beyond. To avoid the need for …

Texture based feature extraction methods for content based medical image retrieval systems

B Ergen, M Baykara - Bio-medical materials and engineering, 2014 - content.iospress.com
The developments of content based image retrieval (CBIR) systems used for image
archiving are continued and one of the important research topics. Although some studies …

[HTML][HTML] Multimodal retrieval with relevance feedback based on genetic programming

RT Calumby, R da Silva Torres… - Multimedia tools and …, 2014 - Springer
This paper presents a framework for multimodal retrieval with relevance feedback based on
genetic programming. In this supervised learning-to-rank framework, genetic programming …

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 …