Combined B-mode and Nakagami Images for Improved Discrimination of Breast Masses using Deep Learning
Author:
Affiliation:
1. University of North Carolina at Chapel Hill and North Carolina State University,Joint Department of Biomedical Engineering,NC,USA
2. Texas State University,Department of Computer Science,TX,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9957114/9957143/09957624.pdf?arnumber=9957624
Reference15 articles.
1. Ultrasonic Nakagami Imaging: A Strategy to Visualize the Scatterer Properties of Benign and Malignant Breast Tumors
2. Open access database of raw ultrasonic signals acquired from malignant and benign breast lesions
3. Ultrasonic Multi-Feature Analysis Procedure for Computer-Aided Diagnosis of Solid Breast Lesions
4. A general statistical model for ultrasonic backscattering from tissues
5. ImageNet Large Scale Visual Recognition Challenge
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3. Multimodal Deep Learning Approaches to Breast Tumor Characterization using Ultrasound B-Mode and Nakagami Parametric Images;2023 IEEE International Ultrasonics Symposium (IUS);2023-09-03
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