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The potential for machine learning algorithms to improve and reduce the cost of 3-dimensional printing for surgical planning
(Taylor and Francis Ltd, 2018)
SemVisM: Semantic visualizer for medical image
(SPIE, 2014-10-14)
SemVisM is a toolbox that combines medical informatics and computer graphics tools for reducing the semantic gap between low-level features and high-level semantic concepts/terms in the images. This paper presents a novel ...
A review of computational methods applied for identification and quantification of atherosclerotic plaques in images
(Elsevier B.V., 2016-03-15)
Evaluation of the composition of atherosclerotic plaques in images is an important task to determine their pathophysiology. Visual analysis is still as the most basic and often approach to determine the morphology of the ...
Providing Integrity and Authenticity in DICOM Images: A Novel Approach
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2009)
The increasing adoption of information systems in healthcare has led to a scenario where patient information security is more and more being regarded as a critical issue. Allowing patient information to be in jeopardy may ...
A Detection Method of Ectocervical Cell Nuclei for Pap test Images, Based on Adaptive Thresholds and Local Derivatives
(Science and Engineering Research Support Society, 2015-04)
Cervical cancer is one of the main causes of death by disease worldwide. In Peru, it holds the first place in frequency and represents 8% of deaths caused by sickness. To detect the disease in the early stages, one of the ...
Glasses-free 3D viewing systems for medical imaging
(Elsevier Sci LtdOxfordInglaterra, 2012)
Vertebral body segmentation of spine MR images using superpixels
(Institute of Electrical and Electronics Engineers – IEEEUniversidade de São Paulo - USPSão Carlos e Ribeirão Preto, 2015-06)
This paper presents a segmentation approach guided by the user for extracting the vertebral bodies of spine from MRI. The proposed approach, called VBSeg, takes advantage of superpixels to reduce the image complexity and ...