Exploiting Multi-Decision and Deep Refinement for Ultrasound Image Segmentation-Reference-Cited by-同舟云学术

Exploiting Multi-Decision and Deep Refinement for Ultrasound Image Segmentation

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
language:
Short-container-title:

Author:

Liu Wenjing¹,Li Xuanya²,Hu Kai¹,Gao Xieping³

Affiliation:

1. Xiangtan University,Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education,Xiangtan,China,411105

2. Baidu Inc,Beijing,China,100085

3. Hunan Normal University,Hunan Provincial Key Laboratory of Intelligent Computing and Language Information Processing,Changsha,China,410081

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hunan Province

Education Department of Hunan Province

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10096071.pdf?arnumber=10096071

Reference21 articles.

1. Attention u-net: Learning where to look for the pancreas;oktay;arXiv preprint arXiv 1804 03583,2018

2. U-net: Convolutional networks for biomedical image segmentation;ronneberger;International Conference on Medical Image Computing and Computer-Assisted Intervention,2015

3. MSF-GAN: Multi-Scale Fuzzy Generative Adversarial Network for Breast Ultrasound Image Segmentation

4. Estan: Enhanced small tumor-aware network for breast ultrasound image segmentation;shareef;arXiv preprint arXiv 2009 12617,2020

5. An attention‐supervised full‐resolution residual network for the segmentation of breast ultrasound images

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images;Information Fusion;2024-09

2. CTUnet: A Novel Paradigm Integrating CNNs and Transformers for Medical Image Segmentation;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30