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Algoritmos para DiagnóStico Assistido de nóDulos Pulmonares SolitáRIOS EM Imagens de Tomografia Computadorizada.. Pontifical Catholic University of Rio de Janeiro, Brazil, (2004)ndltd.org (oai:agregador.ibict.br.BDTD_PUC_RIO:oai:MAXWELL.puc-rio.br:4516).Classification of patterns of benignity and malignancy based on CT using topology-based phylogenetic diversity index and convolutional neural network., , , , and . Pattern Recognit., (2018)Diagnosis of Lung Nodule Using Reinforcement Learning and Geometric Measures., , , and . MLDM, volume 3587 of Lecture Notes in Computer Science, page 295-304. Springer, (2005)Detection of Masses in Mammographic Images Using Simpson's Diversity Index in Circular Regions and SVM., , and . MLDM, volume 5632 of Lecture Notes in Computer Science, page 540-553. Springer, (2009)Taxonomic Indexes for Automatic Prostate Segmentation on 3D MRI Scans Using Superpixels and Probabilistic Atlas., , , , , and . IWSSIP, page 122-127. IEEE, (2020)3D shape analysis to reduce false positives for lung nodule detection systems., , , , and . Medical Biol. Eng. Comput., 55 (8): 1199-1213 (2017)Classification of breast regions as mass and non-mass based on digital mammograms using taxonomic indexes and SVM., , , , and . Comput. Biol. Medicine, (2015)Augmented visualization using homomorphic filtering and Haar-based natural markers for power systems substations., , , , , , and . Comput. Ind., (2018)Lung nodule classification using artificial crawlers, directional texture and support vector machine., , , , , and . Expert Syst. Appl., (2017)Kidney segmentation from computed tomography images using deep neural network., , , , , , , and . Comput. Biol. Medicine, (2020)