Generating binary tags for fast medical image retrieval based on convolutional nets and radon transform
X Liu, HR Tizhoosh, J Kofman - 2016 International Joint …, 2016 - ieeexplore.ieee.org
Content-based image retrieval (CBIR) in large medical image archives is a challenging and
necessary task. Generally, different feature extraction methods are used to assign …
necessary task. Generally, different feature extraction methods are used to assign …
Mining biomedical images towards valuable information retrieval in biomedical and life sciences
Biomedical images are helpful sources for the scientists and practitioners in drawing
significant hypotheses, exemplifying approaches and describing experimental results in …
significant hypotheses, exemplifying approaches and describing experimental results in …
Can Big Data guide prognosis and clinical decisions in epilepsy?
Big Data is no longer a novel concept in health care. Its promise of positive impact is not only
undiminished, but daily enhanced by seemingly endless possibilities. Epilepsy is a disorder …
undiminished, but daily enhanced by seemingly endless possibilities. Epilepsy is a disorder …
On combining image-based and ontological semantic dissimilarities for medical image retrieval applications
Computer-assisted image retrieval applications can assist radiologists by identifying similar
images in archives as a means to providing decision support. In the classical case, images …
images in archives as a means to providing decision support. In the classical case, images …
[图书][B] Information retrieval: a biomedical and health perspective
W Hersh, W Hersh, Weston - 2020 - Springer
The main goal of this book is to provide an understanding of the theory, implementation, and
evaluation of information retrieval (IR) systems in biomedicine and health. There is already a …
evaluation of information retrieval (IR) systems in biomedicine and health. There is already a …
Summarizing figures, tables, and algorithms in scientific publications to augment search results
Increasingly, special-purpose search engines are being built to enable the retrieval of
document-elements like tables, figures, and algorithms [Bhatia et al. 2010; Liu et al. 2007; …
document-elements like tables, figures, and algorithms [Bhatia et al. 2010; Liu et al. 2007; …
Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation
Abstract Machine learning (ML) for diagnosis of thyroid nodules on ultrasound is an active
area of research. However, ML tools require large, well-labeled datasets, the curation of …
area of research. However, ML tools require large, well-labeled datasets, the curation of …
Figure-associated text summarization and evaluation
Biomedical literature incorporates millions of figures, which are a rich and important
knowledge resource for biomedical researchers. Scientists need access to the figures and …
knowledge resource for biomedical researchers. Scientists need access to the figures and …
Large scale medical image search via unsupervised PCA hashing
Medical image search is a significant way to provide similar clinical cases for doctors. Text
based and content based image retrieval techniques have been widely investigated in the …
based and content based image retrieval techniques have been widely investigated in the …
Multimodal biomedical image retrieval using hierarchical classification and modality fusion
Images are frequently used in articles to convey essential information in context with
correlated text. However, searching images in a task-specific way poses significant …
correlated text. However, searching images in a task-specific way poses significant …