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Computer Techniques for Detection of Breast Cancer and Follow Up Neoadjuvant Treatment: Using Infrared Examinations
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Author(s): Adriel dos Santos Araujo (Fluminense Federal University, Brazil), Roger Resmini (Federal University of Rondonópolis, Brazil), Maira Beatriz Hernandez Moran (Fluminense Federal University, Brazil), Milena Henriques de Sousa Issa (Federal Hospital of Servants of Rio de Janeiro, Brazil)and Aura Conci (Fluminense Federal University, Brazil)
Copyright: 2021
Pages: 35
Source title:
Biomedical Computing for Breast Cancer Detection and Diagnosis
Source Author(s)/Editor(s): Wellington Pinheiro dos Santos (Universidade Federal de Pernambuco, Brazil), Washington Wagner Azevedo da Silva (Universidade Federal de Pernambuco, Brazil)and Maira Araujo de Santana (Universidade Federal de Pernambuco, Brazil)
DOI: 10.4018/978-1-7998-3456-4.ch005
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Abstract
This chapter explores several steps of the thermal breast exams analysis process in detecting breast abnormality and evaluating the response of pre-surgical treatment. Topics concerning the process of acquiring, storing, and preprocessing these exams, including a novel segmentation proposal that uses collective intelligence techniques, will be discussed. In addition, various approaches to calculating statistical and geometric descriptors from thermal breast examinations are also considered of this chapter. These descriptors can be used at different stages of the analysis process of these exams. In this sense, two experiments will be presented. The first one explores the use of genetic algorithms in the feature selection process. The second conducts a preliminary study that intends to analyze some descriptors, already used in other works, in the process of evaluating preoperative treatment response. This evaluation is of fundamental importance since the response is directly associated with the prognosis of the disease.
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