Leila C. C. Bergamasco

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The increase in volume of medical images generated and stored has created difficulties in accurate image retrieval. An alternative is to generate three-dimensional (3D) models from such medical images and use them in the search. Some of the main cardiac illnesses, such as Congestive Heart Failure (CHF), have deformation in the heart's shape as one of the(More)
Three-dimensional models are being extensively used in our society. Global shape descriptors are more frequently used in the Content-Based Image Retrieval (CBIR) context due to their robustness and easy implementation, but this kind of descriptor is not adequate for retrieval models with specific characteristics. In this paper a local descriptor is(More)
Three-dimensional models are being extensively used in the medical area in order to improve clinical medical examinations and diagnosis. The Cardiology field handles with several types of image slices to compose the diagnosis. MRI (Magnetic Resonance Imaging) is a non-invasive technique to detect anomalies from internal images of the human body that(More)
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