Name
Title | ||
|---|---|---|
Using BI-RADS Stratifications as Auxiliary Information for Breast Masses Classification in Ultrasound Images. |
Abstract | ||
|---|---|---|
Breast Ultrasound (BUS) imaging has been recognized as an essential imaging modality for breast masses classification in China. Current deep learning (DL) based solutions for BUS classification seek to feed ultrasound (US) images into deep convolutional neural networks (CNNs), to learn a hierarchical combination of features for discriminating malignant and benign masses. One existing problem in cu... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2020.3034804 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Feature extraction,Ultrasonic imaging,Imaging,Task analysis,Breast cancer | Journal | 25 |
Issue | ISSN | Citations |
6 | 2168-2194 | 1 |
PageRank | References | Authors |
0.63 | 0 | 10 |