Zepeda Fernández, Cristian HeberArredondo Velázquez, Juan MoisésZEPEDA FERNANDEZ, CRISTIAN HEBER; 424360ARREDONDO VELAZQUEZ, JUAN MOISES; 563415Pacheco Mex, Sofía2024-03-072024-03-072023-11-06https://hdl.handle.net/20.500.12371/20180“Breast cancer is a disease that consist of the uncontrolled growth of cells in the breast and it is one of the leading causes of death worldwide. That is why early detection of this disease is important. Mammography is an example of soft tissue radiography, in this image technique are employed low doses of radiation and it is the principal radiographic technique to diagnose breast cancer, however, sometimes this technique present limitations since the breast is composed of different tissue types that limit the possibility of detecting cancerous abnormalities with similar image characteristics as healthy tissue and therefore same grey intensity signal. This thesis proposes a study that consisted of the analysis of mammographic images with malignant abnormalities. This was accomplished through image processing and data analysis were made with ROOT and codes in language C++. Mammograms were parameterized and normalized and then the tumor region was located in each image through the analysis of intensity values of pixels. Finally, to evaluate the quality of the results obtained, a comparison was made with the medical diagnostic region, which was found in the data base of mammograms”.pdfengCIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRAMujeres--EnfermedadesMamas--CáncerTumores--DiagnósticoSistemas de imágenes en medicinaDiagnóstico por imágenesMedios de contraste (Radiología)Análisis de imágenes--Procesamiento de datosProcesamiento de imágenes--Modelos matemáticosTesis de licenciaturaopenAccess