Anselmo Cardoso de Paiva

Research interests

Publications

• Automatic method for classifying COVID-19 patients based on chest X-ray images, using deep features and PSO-optimized XGBoost

  Expert Systems with Applications · 2021 · 10.1016/j.eswa.2021.115452

• Bayesian convolutional neural network estimation for pediatric pneumonia detection and diagnosis

  Computer Methods and Programs in Biomedicine · 2021 · 10.1016/j.cmpb.2021.106259

• Segmentation and quantification of COVID-19 infections in CT using pulmonary vessels extraction and deep learning

  Multimedia Tools and Applications · 2021 · 10.1007/s11042-021-11153-y

• Liver segmentation from computed tomography images using cascade deep learning

  Computers in Biology and Medicine · 2021 · 10.1016/j.compbiomed.2021.105095

• Kidney tumor segmentation from computed tomography images using DeepLabv3+ 2.5D model

  Expert Systems with Applications · 2021 · 10.1016/j.eswa.2021.116270

• Kidney segmentation from computed tomography images using deep neural network

  Computers in Biology and Medicine · 2020 · 10.1016/j.compbiomed.2020.103906

• Breast cancer diagnosis from histopathological images using textural features and CBIR

  Artificial Intelligence in Medicine · 2020 · 10.1016/j.artmed.2020.101845

• An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks

  Computer Methods and Programs in Biomedicine · 2019 · https://doi.org/10.1016/j.cmpb.2019.06.005

• Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network

  Pattern Recognition · 2018 · 10.1016/j.patcog.2018.03.032

• Convolutional neural network-based PSO for lung nodule false positive reduction on CT images

  Computer Methods and Programs in Biomedicine · 2018 · https://doi.org/10.1016/j.cmpb.2018.05.006

• Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks

  Computer Methods and Programs in Biomedicine · 2018 · 10.1016/j.cmpb.2018.01.007

• Lung nodules diagnosis based on evolutionary convolutional neural network

  Multimedia Tools and Applications · 2017 · 10.1007/s11042-017-4480-9

• Computer-aided diagnosis system for lung nodules based on computed tomography using shape analysis, a genetic algorithm, and SVM

  Medical & Biological Engineering & Computing · 2016 · 10.1007/s11517-016-1577-7

• Lung nodule classification using artificial crawlers, directional texture and support vector machine

  Expert Systems with Applications · 2016 · 10.1016/j.eswa.2016.10.039

• Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM

  Computers in Biology and Medicine · 2014 · 10.1016/j.compbiomed.2014.11.016

• Automatic detection of small lung nodules in 3D CT data using Gaussian mixture models, Tsallis entropy and SVM

  Engineering Applications of Artificial Intelligence · 2014 · 10.1016/j.engappai.2014.07.007

• Automatic detection of solitary lung nodules using quality threshold clustering, genetic algorithm and diversity index

  Artificial Intelligence in Medicine · 2013 · 10.1016/j.artmed.2013.11.002

• A New Database for Breast Research with Infrared Image

  Journal of Medical Imaging and Health Informatics · 2013 · https://doi.org/10.1166/jmihi.2014.1226

• Computational methodology for automatic detection of strabismus in digital images through Hirschberg test

  Computers in Biology and Medicine · 2011 · 10.1016/j.compbiomed.2011.11.001

• Detection of masses in mammogram images using CNN, geostatistic functions and SVM

  Computers in Biology and Medicine · 2011 · 10.1016/j.compbiomed.2011.05.017

• Detection of Masses in Digital Mammograms using K-Means and Support Vector Machine

  ELCVIA Electronic Letters on Computer Vision and Image Analysis · 2009 · 10.5565/rev/elcvia.216

• Classification of breast tissues using Moran's index and Geary's coefficient as texture signatures and SVM

  Computers in Biology and Medicine · 2009 · 10.1016/j.compbiomed.2009.08.009

• Methodology for automatic detection of lung nodules in computerized tomography images

  Computer Methods and Programs in Biomedicine · 2009 · 10.1016/j.cmpb.2009.07.006

Current projects

No projects listed.