SFNet: Saliency fast Fourier convolutional Network for medical image segmentation-Reference-Cited by-同舟云学术

SFNet: Saliency fast Fourier convolutional Network for medical image segmentation

Published:2023-12-06 Issue: Volume:33 Page:1-7
ISSN:
Container-title:ACM Multimedia Asia 2023
language:
Short-container-title:

Author:

Liu Shangwang¹^ORCID,Liu Danyang¹^ORCID,Lin Yinghai¹^ORCID,Wei Ziqi¹^ORCID

Affiliation:

1. Henan Normal University, CN

Funder

key scientific research project of higher school of Henan Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3595916.3626434

Reference28 articles.

1. Walid Al-Dhabyani , Mohammed Gomaa , Hussien Khaled , and Aly Fahmy . 2020. Dataset of breast ultrasound images. Data in brief 28 ( 2020 ), 104863. Walid Al-Dhabyani, Mohammed Gomaa, Hussien Khaled, and Aly Fahmy. 2020. Dataset of breast ultrasound images. Data in brief 28 (2020), 104863.

2. Jeroen Bertels , David Robben , Robin Lemmens , and Dirk Vandermeulen . 2022. Convolutional neural networks for medical image segmentation. arXiv preprint arXiv:2211.09562 ( 2022 ). Jeroen Bertels, David Robben, Robin Lemmens, and Dirk Vandermeulen. 2022. Convolutional neural networks for medical image segmentation. arXiv preprint arXiv:2211.09562 (2022).

3. Hu Cao , Yueyue Wang , Joy Chen , Dongsheng Jiang , Xiaopeng Zhang , Qi Tian , and Manning Wang . 2022 . Swin-unet: Unet-like pure transformer for medical image segmentation . In European conference on computer vision. Springer, 205–218 . Hu Cao, Yueyue Wang, Joy Chen, Dongsheng Jiang, Xiaopeng Zhang, Qi Tian, and Manning Wang. 2022. Swin-unet: Unet-like pure transformer for medical image segmentation. In European conference on computer vision. Springer, 205–218.

4. Shouvik Chakraborty and Kalyani Mali . 2023. An overview of biomedical image analysis from the deep learning perspective. Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention ( 2023 ), 43–59. Shouvik Chakraborty and Kalyani Mali. 2023. An overview of biomedical image analysis from the deep learning perspective. Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention (2023), 43–59.

5. Jieneng Chen , Yongyi Lu , Qihang Yu , Xiangde Luo , Ehsan Adeli , Yan Wang , Le Lu , Alan L Yuille , and Yuyin Zhou . 2021 . Transunet: Transformers make strong encoders for medical image segmentation. arXiv preprint arXiv:2102.04306 (2021). Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan L Yuille, and Yuyin Zhou. 2021. Transunet: Transformers make strong encoders for medical image segmentation. arXiv preprint arXiv:2102.04306 (2021).