Malignant tumor region comparison through medical diagnosis and statistical analysis
Date
2023-11-06
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Benemérita Universidad Autónoma de Puebla
Abstract
“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”.
Description
Keywords
Citation
Collections
Document Viewer
Select a file to preview:
Can't see the file? Try reloading