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

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, representa...

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Bibliographic Details

Published in:	Physics in medicine & biology Vol. 62; no. 19; p. 7714
Main Authors:	Han, Seokmin, Kang, Ho-Kyung, Jeong, Ja-Yeon, Park, Moon-Ho, Kim, Wonsik, Bang, Won-Chul, Seong, Yeong-Kyeong
Format:	Journal Article
Language:	English
Published:	England 15.09.2017
Subjects:	Breast Neoplasms - classification Breast Neoplasms - diagnostic imaging Breast Neoplasms - pathology Diagnosis, Computer-Assisted - methods Female Humans Image Interpretation, Computer-Assisted - methods Machine Learning Middle Aged Neural Networks (Computer) ROC Curve Ultrasonography, Mammary - methods
ISSN:	1361-6560, 1361-6560
Online Access:	Get more information
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