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Building a reference multimedia database for interstitial lung diseases
This paper describes the methodology used to create a multimedia collection of cases with interstitial lung diseases (ILDs) at the University Hospitals of Geneva. The dataset contains high-resolutionExpand
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Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks
Interstitial lung diseases (ILD) involve several abnormal imaging patterns observed in computed tomography (CT) images. Accurate classification of these patterns plays a significant role in preciseExpand
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  • Open Access
Near-Affine-Invariant Texture Learning for Lung Tissue Analysis Using Isotropic Wavelet Frames
We propose near-affine-invariant texture descriptors derived from isotropic wavelet frames for the characterization of lung tissue patterns in high-resolution computed tomography (HRCT) imaging.Expand
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  • Open Access
Three-dimensional solid texture analysis in biomedical imaging: Review and opportunities
Three-dimensional computerized characterization of biomedical solid textures is key to large-scale and high-throughput screening of imaging data. Such data increasingly become available in theExpand
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  • Open Access
Fusion Techniques for Combining Textual and Visual Information Retrieval
This chapter describes several approaches for information fusion that have been used in ImageCLEF over the past seven years. In this context, the fusion of information is mainly meant to combineExpand
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Clinical data mining: a review.
OBJECTIVE Clinical data mining is the application of data mining techniques using clinical data. We review the literature in order to provide a general overview by identifying the status-of-practiceExpand
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Efficient and fully automatic segmentation of the lungs in CT volumes
The segmentation of lung volumes constitutes the rst step for most computer{aided systems for lung diseases. CT (Computed Tomography) is the most common imaging technique used by these systems, soExpand
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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 are describedExpand
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  • Open Access
Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification
We present texture operators encoding class-specific local organizations of image directions (LOIDs) in a rotation-invariant fashion. The LOIDs are key for visual understanding, and are at the originExpand
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  • Open Access
Rotation–Covariant Texture Learning Using Steerable Riesz Wavelets
We propose a texture learning approach that exploits local organizations of scales and directions. First, linear combinations of Riesz wavelets are learned using kernel support vector machines. TheExpand
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  • Open Access