Content-based medical image retrieval: a survey of applications to multidimensional and multimodality data
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 …
in the creation of image databases, as well as picture archiving and communication systems …
Computational intelligence approaches for classification of medical data: State-of-the-art, future challenges and research directions
The explosive growth of data in volume, velocity and diversity that are produced by medical
applications has contributed to abundance of big data. Current solutions for efficient data …
applications has contributed to abundance of big data. Current solutions for efficient data …
Anatomy-specific classification of medical images using deep convolutional nets
Automated classification of human anatomy is an important prerequisite for many computer-
aided diagnosis systems. The spatial complexity and variability of anatomy throughout the …
aided diagnosis systems. The spatial complexity and variability of anatomy throughout the …
Semisupervised SVM batch mode active learning with applications to image retrieval
Support vector machine (SVM) active learning is one popular and successful technique for
relevance feedback in content-based image retrieval (CBIR). Despite the success …
relevance feedback in content-based image retrieval (CBIR). Despite the success …
Frontiers of biomedical text mining: current progress
P Zweigenbaum, D Demner-Fushman… - Briefings in …, 2007 - academic.oup.com
It is now almost 15 years since the publication of the first paper on text mining in the
genomics domain, and decades since the first paper on text mining in the medical domain …
genomics domain, and decades since the first paper on text mining in the medical domain …
X-ray categorization and retrieval on the organ and pathology level, using patch-based visual words
U Avni, H Greenspan, E Konen… - IEEE transactions on …, 2010 - ieeexplore.ieee.org
In this study we present an efficient image categorization and retrieval system applied to
medical image databases, in particular large radiograph archives. The methodology is …
medical image databases, in particular large radiograph archives. The methodology is …
A learning-based similarity fusion and filtering approach for biomedical image retrieval using SVM classification and relevance feedback
This paper presents a classification-driven biomedical image retrieval framework based on
image filtering and similarity fusion by employing supervised learning techniques. In this …
image filtering and similarity fusion by employing supervised learning techniques. In this …
[HTML][HTML] Building a semantically annotated corpus of clinical texts
A Roberts, R Gaizauskas, M Hepple… - Journal of biomedical …, 2009 - Elsevier
In this paper, we describe the construction of a semantically annotated corpus of clinical
texts for use in the development and evaluation of systems for automatically extracting …
texts for use in the development and evaluation of systems for automatically extracting …
[PDF][PDF] Overview of the ImageCLEF 2012 medical image retrieval and classiFIcation tasks.
H Müller, AGS de Herrera… - CLEF (online working …, 2012 - researchgate.net
The ninth edition of the ImageCLEF medical image retrieval and classification tasks was
organized in 2012. A subset of the open access collection of PubMed Central was used as …
organized in 2012. A subset of the open access collection of PubMed Central was used as …
Overview of the CLEF 2009 medical image retrieval track
Abstract 2009 was the sixth year for the ImageCLEF medical retrieval task. Participation was
strong again with 38 registered research groups. 17 groups submitted runs and thus …
strong again with 38 registered research groups. 17 groups submitted runs and thus …