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Disambiguation of "de Paiva, Anselmo Cardoso"

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Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images.

, , , and . SBRN, page 24-29. IEEE Computer Society, (2006)

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Jörg Desel

Das ist Informatik (Eds.) Springer, (2001)

Univ. -Prof. Dr. Gerd de Bruyn University of Stuttgart

Anda Degeratu University of Stuttgart

Daniel Del Gaudio University of Stuttgart

Ph. D. Luiz de Oliveira Chamon University of Stuttgart

 

Other publications of authors with the same name

Classification of Normal, Benign and Malignant Tissues Using Co-occurrence Matrix and Bayesian Neural Network in Mammographic Images., , , and . SBRN, page 24-29. IEEE Computer Society, (2006)Lung nodule classification using artificial crawlers, directional texture and support vector machine., , , , , and . Expert Syst. Appl., (2017)Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network., , , , and . Pattern Recognition, (2018)Lung Structure Classification Using 3D Geometric Measurements and SVM., , and . CIARP, volume 4756 of Lecture Notes in Computer Science, page 783-792. Springer, (2007)Diagnosis of Non-Small Cell Lung Cancer Using Phylogenetic Diversity in Radiomics Context., , , , , , and . ICIAR, volume 10882 of Lecture Notes in Computer Science, page 598-604. Springer, (2018)Automatic Eye Detection in Human Faces Using Geostatistical Functions and Support Vector Machines., , and . ICIAR (2), volume 6754 of Lecture Notes in Computer Science, page 151-160. Springer, (2011)Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations., , , , , , and . Computers in Industry, (2018)Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM., , , , and . Comp. in Bio. and Med., (2015)3D shape analysis to reduce false positives for lung nodule detection systems., , , , and . Med. Biol. Engineering and Computing, 55 (8): 1199-1213 (2017)A Deep Approach for Handwritten Musical Symbols Recognition., , , , and . WebMedia, page 191-194. ACM, (2016)