Integrated optical matrix operator for biomedical image segmentation using deep residual U-Net
We present an on-chip optical matrix operator designed for multichannel 1×1 optical convolution, which is deployed in a deep residual U-Net for biomedical image segmentation. The integrated optical matrix operator is fabricated on a silicon-on-insulator (SOI) chip that supports fully reconfigurable 5×5 matrix operation and is used in a deep residual U-net that requires 3-channel 1×1 convolution operation. The multichannel optical 1×1 convolution operation is experimentally validated by using the deep residual U-Net to achieve precise segmentation of pneumonia lesion region in lung CT images. The on-chip optical matrix operator features high scalability and large-scale parallel operation and may find great application in future optical neural networks.
Authors
- Jiejun Zhang (ORCID: https://orcid.org/0000-0002-4137-870X)
- Junyi Zhang (ORCID: https://orcid.org/0009-0005-0484-4264)
- S.J. Dong
- Yu Dong Huang
- Jianping Yao (ORCID: https://orcid.org/0000-0002-4137-870X)
- Chencheng Zeng
Institutions
- University of Ottawa (CA)
Publication Details
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1117/12.3047781
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00