Method for Manual Segmentation of Thermal Images for Ground Truth Generation
Abstract
Breast cancer is the malignant tumor that most afflicts women in the world. Early detection and treatment is the best way to improve the survival rate. In this context, thermography is a very important screening tool because it can show breast thermal asymmetry and neovascularization much before usual exams such as mammography and ultrasonography. To use decision-making methods, it is necessary that Region of Interest (ROI) have been segmented. The automatic segmentation of ROI is the first step for the use of a Computer Aided Diagnosis System (CADx). Moreover, it reduces error possibilities; allows repeatability and makes possible more efficient storage with the use of Content Based Images Retrieval (CBIR) techniques. The latter, i.e. CBIR, is essential for speeding up the time of database management by the specialist responsible for the clinical work. This paper presents a new idea: The tablet use to assist the physician in the manual segmentation process. Such segmentation is a fundamental step in the process of construction of a standardized base to assist in the evaluation, validation and comparison of different techniques for automatic segmentation.
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