Classification for Breast Ultrasound Using Convolutional Neural Network with Multiple Time-Domain Feature Maps

Classification for Breast Ultrasound Using Convolutional Neural Network with Multiple Time-Domain Feature Maps

Ultrasound (US) imaging is widely utilized as a diagnostic screening method, and deep learning has recently drawn attention for the analysis of US images for the pathological status of tissues. While low image quality and poor reproducibility are the common obstacles in US analysis, the small size o...

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Bibliographic Details
Main Authors: Hyungsuk Kim, Juyoung Park, Hakjoon Lee, Geuntae Im, Jongsoo Lee, Ki-Baek Lee, Heung Jae Lee
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Applied Sciences
Subjects:
medical ultrasound
breast US images
deep learning
convolutional neural network
B-mode image
entropy image
Online Access:https://www.mdpi.com/2076-3417/11/21/10216

Internet

https://www.mdpi.com/2076-3417/11/21/10216

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