A deep learning framework for supporting the classification of breast lesions in ultrasound images.
Abstract
In this research, we exploited the deep learning framework to differentiate the distinctive types of lesions and nodules in breast acquired with ultrasound imaging. A biopsy-proven benchmarking dataset was built from 5151 patients cases containing a total of 7408 ultrasound breast images, representative of semi-automatically segmented lesions associated with masses. The dataset comprised 4254 benign and 3154 malignant lesions. The developed...
Paper Details
Title
A deep learning framework for supporting the classification of breast lesions in ultrasound images.
Published Date
Sep 15, 2017
Volume
62
Issue
19
Pages
7714 - 7728
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