Breast Ultrasound Image Processing

Author:

Ramamoorthy Strivathsav Ashwin1ORCID,Gopi Varun P.1ORCID

Affiliation:

1. National Institute of Technology, Tiruchirappali, India

Abstract

Breast cancer is a serious disease among women, and its early detection is very crucial for the treatment of cancer. To assist radiologists who manually delineate the tumour from the ultrasound image an automatic computerized method of detection called CAD (computer-aided diagnosis) is developed to provide valuable inputs for radiologists. The CAD systems is divided into many branches like pre-processing, segmentation, feature extraction, and classification. This chapter solely focuses on the first two branches of the CAD system the pre-processing and segmentation. Ultrasound images acquired depends on the operator expertise and is found to be of low contrast and fuzzy in nature. For the pre-processing branch, a contrast enhancement algorithm based on fuzzy logic is implemented which could help in the efficient delineation of the tumour from ultrasound image.

Publisher

IGI Global

Reference12 articles.

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2. Relations between the statistics of natural images and the response properties of cortical cells

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