development of computer aided diagnosis system for mammograms

  gaafar al-aidaros

to detects and diagnoses breast cancer, mammography is a noninvasive technique has been successful in improving detection of cancer particularly non-palpable breast masses and calcifications that may be malignant. occasionally, radiologists fail to detect suspicious abnormalities that is repetitive and fatiguing task. thus, there is a necessity for developing methods for automatic with more accuracy detection and classification of suspicious areas in mammograms, as a means of helping radiologists to improve the efficacy of screening programs and avert unnecessary biopsies. By incorporating the expert knowledge of radiologists, the computer-based systems provide a second opinion in detecting abnormalities and making diagnostic decisions. such a diagnostic computerized system is called computer aided diagnosis (CAD) system. there are strong motivations to develop a CAD system to aid radiologists in reading mammograms. this paper aimed to develop a computer-aided diagnosis (cad) system by applying new feature extraction and classifiers that affect directly on the CAD system attitude. the experimental results showed better system performance.

Keywords- breast cancer, mammography, computer aided diagnosis, feature extraction

Unique Identification Number - IJEDR2102017
Page Number(s) - 107-110
Pubished in - Volume 9 | Issue 2 | May 2021
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  gaafar al-aidaros,   "development of computer aided diagnosis system for mammograms", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.9, Issue 2, pp.107-110, May 2021, Available at :http://www.ijedr.org/papers/IJEDR2102017.pdf