Title :
Assisted Breast Cancer Diagnosis Environment: A Tool for DICOM mammographic images analysis
Author :
Salmeri, Marcello ; Mencattini, Arianna ; Rabottino, Giulia ; Accattatis, Alfredo ; Lojacono, Roberto
Author_Institution :
Univ. of Rome Tor Vergata, Rome, Italy
Abstract :
The paper presents a first implementation of a novel tool to assist radiologists in analyzing screening mammographic images. The software named Assisted Breast Cancer Diagnosis Environment (ABCDE) is able to acquire DICOM images (also in presence of Grayscale Softcopy Presentation State). It is designed to assist the doctor, as a second reader, during the various phases of the diagnosis. The program uses some public libraries and implements many new algorithms developed in the last years by the research group.
Keywords :
cancer; diagnostic radiography; feature extraction; image classification; image segmentation; mammography; medical image processing; Assisted Breast Cancer Diagnosis Environment; DICOM mammographic images analysis; grayscale softcopy presentation state; mammographic image screening; radiology; Biomedical imaging; Breast cancer; DICOM; Displays; Gray-scale; Image analysis; Image converters; Image databases; Medical diagnostic imaging; Pixel;
Conference_Titel :
Medical Measurements and Applications, 2009. MeMeA 2009. IEEE International Workshop on
Conference_Location :
Cetraro
Print_ISBN :
978-1-4244-3598-2
Electronic_ISBN :
978-1-4244-3599-9
DOI :
10.1109/MEMEA.2009.5167976