A deep learning framework for supporting the classification of breast lesions in ultrasound images.

Volume: 62, Issue: 19, Pages: 7714 - 7728
Published: Sep 15, 2017
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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