Table of Contents
Table of Contents
Preface
Acknowledgements
Chapter 1. Considerations of Novel Diagnostic and Therapeutic Approaches to Metastatic Triple-Negative Breast Cancer
(Katarzyna Rygiel, Department of Family Practice, Medical University of Silesia, Zabrze, Poland)
Chapter 2. Morphological Decomposition to Detect and Classify Lesions in Mammograms
(Sidney Marlon Lopes de Lima, Abel Guilhermino da Silva Filho and Wellington Pinheiro dos Santos, Center of Informatics, Federal University of Pernambuco, Recife, Brazil, and others)
Chapter 3. Breast Lesions Classification in Frontal Thermographic Images Using Intelligent Systems and Moments of Haralick and Zernike
(Maíra Araújo de Santana, Jessiane Mônica Silva Pereira, Rita de Cássia Fernandes de Lima and Wellington Pinheiro dos Santos, Department of Biomedical Engineering, Federal University of Pernambuco, Recife, Brazil, and others)
Chapter 4. Lesion Detection in Breast Thermography Using Machine Learning Algorithms without Previous Segmentation
(Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Rita de Cássia Fernandes de Lima and Wellington Pinheiro dos Santos, Polytechnique School of the University of Pernambuco, Recife, Brazil, and others)
Chapter 5. Dialectical Optimization Method as a Feature Selection Tool for Breast Cancer Diagnosis Using Thermographic Images
(Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Washington Wagner Azevedo da Silva, Rita de Cássia Fernandes de Lima, Sidney Marlon Lopes de Lima and Wellington Pinheiro dos Santos, Polytechnique School of the University of Pernambuco, Recife, Brazil, and others)
Chapter 6. Method for Classification of Breast Lesions in Thermographic Images Using ELM Classifiers
(Jessiane Mônica Silva Pereira, Maíra Araújo de Santana, Rita de Cássia Fernandes de Lima, Sidney Marlon Lopes de Lima and Wellington Pinheiro dos Santos, Polytechnique School of the University of Pernambuco, Recife, Brazil, and others)
Index
