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Disambiguation of "Gattass, Marcelo"

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

, , , , and . Comput. Methods Programs Biomed., (2021)

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Marcelo Ephraim

Marcelo Trallero

Marcelo Giovannetti

Marcelo Klötzle

Marcelo Bertasso

 

Other publications of authors with the same name

Convolutional neural network and texture descriptor-based automatic detection and diagnosis of glaucoma., , , , and . Expert Syst. Appl., (2018)Automatic Detection of Masses in Mammograms Using Quality Threshold Clustering, Correlogram Function, and SVM., , , , and . J. Digital Imaging, 28 (3): 323-337 (2015)Automatic mass detection in mammography images using particle swarm optimization and functional diversity indexes., , , and . Multimedia Tools Appl., 76 (18): 19263-19289 (2017)Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine., , , , and . MLDM, volume 4571 of Lecture Notes in Computer Science, page 784-794. Springer, (2007)Method of differentiation of benign and malignant masses in digital mammograms using texture analysis based on phylogenetic diversity., , , , and . Comput. Electr. Eng., (2018)Diagnosis of solitary lung nodules using the local form of Ripley's K function applied to three-dimensional CT data., , , , and . Comput. Methods Programs Biomed., 90 (3): 230-239 (2008)Lung-Nodule Classification Based on Computed Tomography Using Taxonomic Diversity Indexes and an SVM., , , , and . J. Signal Process. Syst., 87 (2): 179-196 (2017)Classification of breast tissues into mass and non-mass by means of the micro-genetic algorithm, phylogenetic trees, LBP and SVM., , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 6 (3): 315-330 (2018)Detection of mass regions in mammograms by bilateral analysis adapted to breast density using similarity indexes and convolutional neural networks., , , , , and . Comput. Methods Programs Biomed., (2018)Computer-Aided Methodology for Syndromic Strabismus Diagnosis., , , , and . J. Digit. Imaging, 28 (4): 462-473 (2015)