ABSTRACT
En este trabajo se presenta una herramienta de Diagnóstico Asistido por Computadora (CAD) para la detección de masas en mamografías digitales. Desarrollada en Matlab, aplica sobre las mamografías distintas técnicas de Procesamiento Digital de Imágenes para detectar la presencia de lesiones y aislarlas del resto de las estructuras propias del seno. Binarización, Labeling, crecimiento de regiones, Filtro Iris, entre otras; dan como resultado una imagen en la que se destaca la anomalía presente, facilitando un diagnóstico libre de errores. Se validaron los resultados mediante el uso de mamografías reales previamente diagnosticadas por especialistas y se obtuvieron valores de efectividad acorde con los esperados. El resultado de esta investigación constituye un aporte al diagnóstico temprano de lesiones mamarias que podrían ser mortales en caso de una tardía detección; así como una herramienta útil para el entrenamiento de médicos radiólogos en fase de aprendizaje(AU)
In this work a Computer Aided Diagnosis (CAD) tool is presented for mass screening in digital mammograms. Developed in Matlab, it applies different techniques of Digital Image Processing to mammograms to detect the presence of lesions and isolate them from the rest of the structures of the breast. Binarization, Labeling, Seeded Region Growing, Iris filter, among others; result in an image in which the abnormality occurring stands facilitating free fault diagnosis. The results were validated using real mammograms previously diagnosed by specialists and effectiveness values were obtained in line with the expected. The result of this research is a contribution to the early diagnosis of breast lesions which could be fatal in case of late detection; as well as a useful tool for training radiologists in the learning phase(AU)
Subject(s)
Humans , Female , Software/standards , Diagnostic Imaging/methods , Mammography/methods , Public Health InformaticsABSTRACT
Objective To study the imaging characteristics of breast fibroadenoma on mammograms.Methods Mammograms of 81 cases with breast fibroadenoma confirmed by operation and pathology were reviewed retrospectively. Results Fifty-four cases had isodense masses;11 cases with highdense masses;13 cases with phyllodes masses.“Membranoid sign” can be seen in 44 cases,19 cases with indistinct margin,6 cases with benign calcifications. Accurate preoperative diagnoses were made in 65 cases. Eight cases were misdiagnosed as breast carcinoma or adenosis respectively.The diagnosis of “no malignant lesions” was made in 8 cases.Conclusion The recognition of typical and atypical X-ray findings of breast fibroaderoma is very important,mammography is a good methods in detecting and differentiating breast diseases.