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Hybrid analysis for indicating patients with breast cancer using temperature time series.

, , , , , and . Computer Methods and Programs in Biomedicine, (2016)

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Analysis of spatial variability using geostatistical functions for diagnosis of lung nodule in computerized tomography images., , and . Pattern Anal. Appl., 7 (3): 227-234 (2004)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)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)Prediction of unregistered power consumption lawsuits and its correlated factors based on customer data using extreme gradient boosting model., , , , , , , , , and 3 other author(s). SMC, page 2059-2064. IEEE, (2019)Semivariogram and SGLDM Methods Comparison for the Diagnosis of Solitary Lung Nodule., , , and . IbPRIA (2), volume 3523 of Lecture Notes in Computer Science, page 479-486. Springer, (2005)Lung nodule classification based on shape distributions., , , , and . SAC, page 84-86. ACM, (2016)Diagnosis of lung nodule using Gini coefficient and skeletonization in computerized tomography images., , and . SAC, page 243-248. ACM, (2004)Breast cancer detection in mammography using spatial diversity, geostatistics, and concave geometry., , , , , and . Multimedia Tools Appl., 78 (10): 13005-13031 (2019)Automatic method for quantitative automatic evaluation in dynamic renal scintilography images., , , , and . Multimedia Tools Appl., 76 (18): 19291-19315 (2017)