A Multiscale Nonlocal Feature Extraction Network for Breast Lesion Segmentation in Ultrasound Images-Reference-Cited by-同舟云学术

A Multiscale Nonlocal Feature Extraction Network for Breast Lesion Segmentation in Ultrasound Images

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Liu Guoqi¹^ORCID,Wang Jiajia¹^ORCID,Liu Dong¹^ORCID,Chang Baofang²^ORCID

Affiliation:

1. College of Computer and Information Engineering, Key Laboratory of Artificial Intelligence and Personalized Learning in Education of Henan Province, Henan Normal University, Henan, China

2. College of Computer and Information Engineering, Henan Normal University, Henan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10094017.pdf?arnumber=10094017

Reference53 articles.

1. Automatic superpixel-based segmentation method for breast ultrasound images

2. Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains

3. Fully convolutional networks for semantic segmentation

4. U-Net: Convolutional Networks for Biomedical Image Segmentation

5. Deep Residual Learning for Image Recognition

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