Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features-Reference-Cited by-同舟云学术

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Breast Tumor Classification Based on MRI-US Images by Disentangling Modality Features

Published:2022-07 Issue:7 Volume:26 Page:3059-3067
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Qiao Mengyun¹^ORCID,Liu Chencheng¹,Li Zeju²^ORCID,Zhou Jin³,Xiao Qin⁴^ORCID,Zhou Shichong³,Chang Cai³,Gu Yajia⁴,Guo Yi¹^ORCID,Wang Yuanyuan¹^ORCID

Affiliation:

1. Department of Electronic Engineering, Fudan University, Shanghai, China

2. BioMedIA Group and Department of Computing, Imperial College London, London, U.K.

3. Department of Ultrasound, Fudan University, Shanghai, China

4. Department of Radiology, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Science and Technology Commission of Shanghai Municipality

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/9813470/09669065.pdf?arnumber=9669065

Reference48 articles.

1. Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region

2. Cross-Modal Attention for MRI and Ultrasound Volume Registration

3. Breast cancer prognostic classification in the molecular era: the role of histological grade

4. Real-Time Data Augmentation Based Transfer Learning Model for Breast Cancer Diagnosis Using Histopathological Images

5. Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

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