摘要
This paper proposes a transformer-based neural network, for segmenting the images of human tissues obtained by inverse scattering method. Firstly, the distribution image of relative permittivity for the human tissue is obtained by the subspace-based optimization method (SOM). Then the obtained results are fed into a transformer-based network to output a segmentation mask. Numerical results verify that this method can get clear edges for different tissues, and it can achieve accurate classification for human tissue imaging.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings |
| 出版商 | Institute of Electrical and Electronics Engineers Inc. |
| 页 | 251-252 |
| 页数 | 2 |
| ISBN（电子版） | 9798350369908 |
| DOI | |
| 出版状态 | 已出版 - 2024 |
| 活动 | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Florence, 意大利 期限: 14 7月 2024 → 19 7月 2024 |
出版系列
| 姓名 | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
|---|---|
| ISSN（印刷版） | 1522-3965 |
会议
| 会议 | 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 |
|---|---|
| 国家/地区 | 意大利 |
| 市 | Florence |
| 时期 | 14/07/24 → 19/07/24 |
指纹
探究 'A Machine Learning-based Inverse Scattering Method for Biomedical Imaging Segmentation' 的科研主题。它们共同构成独一无二的指纹。引用此
Du, N., & Ye, X. (2024). A Machine Learning-based Inverse Scattering Method for Biomedical Imaging Segmentation. 在 2024 IEEE International Symposium on Antennas and Propagation and INC/USNCURSI Radio Science Meeting, AP-S/INC-USNC-URSI 2024 - Proceedings (页码 251-252). (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AP-S/INC-USNC-URSI52054.2024.10686379