4 documents found, page 1 of 1
A crossinggram for random fields on lattices
Ferreira, Helena; Ferreira, Marta Susana; Alexandre, Luís A.The modeling of risk situations that occur in a space framework can be done using max-stable random fields on lattices. Although the summary coefficients for the spatial behavior do not characterize the finite-dimensional distributions of the random field, they have the advantage of being immediate to interpret and easier to estimate. The coefficients that we propose give us information about the tendency of a ...
Lesion classification in mammograms using convolutional neural networks and tra...
Perre, Ana; Alexandre, Luís A.; Freire, LuísConvolutional neural networks (CNNs) have recently been successfully used in the medical field to detect and classify pathologies in different imaging modalities, including in mammography. One disadvantage of CNNs is the need for large training datasets, which are particularly difficult to obtain in the medical domain. One way to solve this problem is using a transfer learning approach, in which a CNN, previous...
Lesion classification in mammograms using convolutional neural networks and tra...
Perre, Ana; Alexandre, Luís A.; Freire, LuísComputer-Aided Detection/Diagnosis (CAD) tools were created to assist the detection and diagnosis of early-stage cancers, decreasing the false negative rate and improving radiologists’ efficiency. Convolutional Neural Networks (CNNs) is one example of deep learning algorithms that proved to be successful in image classification. In this paper, we aim to study the application of CNN's to the classification of le...
Detection of the occupation of the costal diaphragmatic angle in chest radiographs
Alexandre, Luís A.; Silva, Mário J.; Campilho, Aurélio C.As part of a Computer-Aided Diagnosis system, a method to detect the occupancy of the costal diaphragmatic angles was developed. This paper presents the details of implementation and the results of tests on a chest radiographs database with 130 images. The results are good for the occupancy detection and not so good for the segmentation of the CDAs. Further developments are proposed.; Foi desenvolvido um método...