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

fYear

2009

fDate

29-30 May 2009

Firstpage

160

Lastpage

165

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/MEMEA.2009.5167976

Filename

5167976