2 documents found, page 1 of 1
Interpretability of a deep learning model for rodents brain semantic segmentation
Matos, Leonardo Nogueira; Rodrigues, Mariana Fontainhas; Magalhães, Ricardo José Silva; Alves, Victor; Novais, PauloIn recent years, as machine learning research has become real products and applications, some of which are critical, it is recognized that it is necessary to look for other model evaluation mechanisms. The commonly used main metrics such as accuracy or F-statistics are no longer sufficient in the deployment phase. This fostered the emergence of methods for interpretability of models. In this work, we discuss an...
Brain semantic segmentation: a deep learning approach in human and Rat MRI studies
Rodrigues, Mariana FontainhasDissertação de mestrado em Biomedical Engineering Dissertation (área de especialização em Field of Medical informatics); Magnetic Resonance Imaging (MRI) provides information about anatomy and pathology. This type of technique is the most popular used for the study of rat and human brain. Classifying voxels according to the presence of relevant anatomic features is an important step in the pre-processing of the...