Breast ultrasound lesions classification: a performance evaluation between manual delineation and computer segmentation
Abstract
Breast cancer is a threat to women worldwide. Manual delineation on breast ultrasound lesions is time-consuming and operator dependent. Computer segmentation of ultrasound breast lesions can be a challenging task due to the ill-defined lesions boundaries and issues related to the speckle noise in ultrasound images. The main contribution of this paper is to compare the performance of the computer classifier on the manual delineation and computer...
Paper Details
Title
Breast ultrasound lesions classification: a performance evaluation between manual delineation and computer segmentation
Published Date
Mar 24, 2016
Journal
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