Malignant tumor region comparison through medical diagnosis and statistical analysis

Simple item page
dc.audiencegeneralPublic
dc.contributorZepeda Fernández, Cristian Heber
dc.contributorArredondo Velázquez, Juan Moisés
dc.contributor.advisorZEPEDA FERNANDEZ, CRISTIAN HEBER; 424360
dc.contributor.advisorARREDONDO VELAZQUEZ, JUAN MOISES; 563415
dc.contributor.authorPacheco Mex, Sofía
dc.date.accessioned2024-03-07T15:41:29Z
dc.date.available2024-03-07T15:41:29Z
dc.date.issued2023-11-06
dc.description.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”.
dc.folio20231109142646-5109-TL
dc.formatpdf
dc.identificator1
dc.identifier.urihttps://hdl.handle.net/20.500.12371/20180
dc.language.isoeng
dc.matricula.creator201865018
dc.publisherBenemérita Universidad Autónoma de Puebla
dc.rights.accesopenAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.classificationCIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA
dc.subject.lccMujeres--Enfermedades
dc.subject.lccMamas--Cáncer
dc.subject.lccTumores--Diagnóstico
dc.subject.lccSistemas de imágenes en medicina
dc.subject.lccDiagnóstico por imágenes
dc.subject.lccMedios de contraste (Radiología)
dc.subject.lccAnálisis de imágenes--Procesamiento de datos
dc.subject.lccProcesamiento de imágenes--Modelos matemáticos
dc.thesis.careerLicenciatura en Física
dc.thesis.degreedisciplineÁrea de Ingeniería y Ciencias Exactas
dc.thesis.degreegrantorFacultad de Ciencias Físico Matemáticas
dc.thesis.degreetoobtainLicenciado (a) en Física
dc.titleMalignant tumor region comparison through medical diagnosis and statistical analysis
dc.typeTesis de licenciatura
dc.type.conacytbachelorThesis
dc.type.degreeLicenciatura
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
20231109142646-5109-TL.pdf
Size:
1.61 MB
Format:
Adobe Portable Document Format
Download
Name:
20231109142646-5109-CARTA.pdf
Size:
175.12 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Tesis de Licenciatura