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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Vydáno v:	Physics in medicine & biology Ročník 62; číslo 19; s. 7714
Hlavní autoři:	Han, Seokmin, Kang, Ho-Kyung, Jeong, Ja-Yeon, Park, Moon-Ho, Kim, Wonsik, Bang, Won-Chul, Seong, Yeong-Kyeong
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England 15.09.2017
Témata:	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
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