BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations-Reference-Cited by-同舟云学术

BI-RADS-NET-V2: A Composite Multi-Task Neural Network for Computer-Aided Diagnosis of Breast Cancer in Ultrasound Images With Semantic and Quantitative Explanations

Published:2023 Issue: Volume:11 Page:79480-79494
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Boyu¹^ORCID,Vakanski Aleksandar²^ORCID,Xian Min³^ORCID

Affiliation:

1. Institute for Interdisciplinary Data Sciences, University of Idaho, Moscow, ID, USA

2. Department of Nuclear Engineering and Industrial Management, University of Idaho, Idaho Falls, ID, USA

3. Department of Computer Science, University of Idaho, Idaho Falls, ID, USA

Funder

National Institute of General Medical Sciences of the National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10193749.pdf?arnumber=10193749

Reference56 articles.

1. Two-stage CNNs for computerized BI-RADS categorization in breast ultrasound images

2. A Novel Interpretable Computer-Aided Diagnosis System of Thyroid Nodules on Ultrasound Based on Clinical Experience

3. A novel approach with dual-sampling convolutional neural network for ultrasound image classification of breast tumors

4. Visually interpretable deep network for diagnosis of breast masses on mammograms

5. CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

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