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A Novel Online Training Platform for Medical Image Interpretation
(Springer, 2019-01-01)
One of the major problems in the health area is false positive and negative diagnoses, especially in the interpretation of radiological images. Several papers affirm that the radiologist experience helps in accurate ...
Building a Open Source Framework for Virtual Medical Training
(SPRINGER, 2010)
This paper presents a framework to build medical training applications by using virtual reality and a tool that helps the class instantiation of this framework. The main purpose is to make easier the building of virtual ...
Is it possible to make pixel-based radar image classification user-friendly?
(2011-11-16)
In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, ...
Is it possible to make pixel-based radar image classification user-friendly?
(2011-11-16)
In this paper we would like to shed light the problem of efficiency and effectiveness of image classification in large datasets. As the amount of data to be processed and further classified has increased in the last years, ...
Multilevel Training of Binary Morphological Operators
(IEEE COMPUTER SOC, 2009)
The design of binary morphological operators that are translation-invariant and locally defined by a finite neighborhood window corresponds to the problem of designing Boolean functions. As in any supervised classification ...
Pix2pix conditional generative adversarial network with mlp loss function for cloud removal in a cropland time series
(2022-01-01)
Clouds are one of the major limitations to crop monitoring using optical satellite images. Despite all efforts to provide decision-makers with high-quality agricultural statistics, there is still a lack of techniques to ...