Publications by authors named "Lucas Frighetto-Pereira"
Cooperative strategy for a dynamic ensemble of classification models in clinical applications: the case of MRI vertebral compression fractures.
Paola Casti Arianna Mencattini Marcello H Nogueira-Barbosa Lucas Frighetto-Pereira Paulo Mazzoncini Azevedo-Marques
Int J Comput Assist Radiol Surg
November 2017
Purpose: In clinical practice, the constructive consultation among experts improves the reliability of the diagnosis and leads to the definition of the treatment plan for the patient. Aggregation of the different opinions collected by many experts can be performed at the level of patient information, abnormality delineation, or final assessment.
Methods: In this study, we present a novel cooperative strategy that exploits the dynamic contribution of the classification models composing the ensemble to make the final class assignment.
Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images.
Lucas Frighetto-Pereira Rangaraj Mandayam Rangayyan Guilherme Augusto Metzner Paulo Mazzoncini de Azevedo-Marques Marcello Henrique Nogueira-Barbosa
Comput Biol Med
June 2016
Article Synopsis
- The study investigates vertebral compression fractures (VCFs), which mainly affect the elderly due to conditions like osteoporosis or metastasis.
- The research analyzed lumbar MRI images from 63 patients, employing various classification methods to differentiate between benign and malignant fractures.
- Results demonstrated high accuracy, with the classification methods effectively distinguishing between normal vertebrae and fractures, and between benign and malignant cases.