Presentation + Paper
19 December 2022 Differences in the spatial distribution of tumor cells at breast cancer borders based on multiphoton imaging
Author Affiliations +
Abstract
Tumor cell invasion and metastasis is closely related to various components in tumor microenvironment, and the spatial distribution of tumor cells may be linked to the tumor progression. The directionally distributed collagen fibers would lead to one-way migration of tumor cells, and misarranged collagen fibers allow tumor cells to multi-directional migration in tumor boundary, and therefore tumor cells present in different spatial distributions in the microenvironment. In this study, the open source convolutional neural network Hover-Net was used for segmentation and classification. After accurately segmenting tumor cells, spatial features were extracted. Our results indicated that there were significant differences in the spatial distribution of tumor cells in the two modes. These were further demonstrated to be potential different prognostic patterns.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shichao Zhang, Ying Feng, Jikui Miao, Liqin Zheng, Xiahui Han, Lianhuang Li, Deyong Kang, and Jianxin Chen "Differences in the spatial distribution of tumor cells at breast cancer borders based on multiphoton imaging", Proc. SPIE 12320, Optics in Health Care and Biomedical Optics XII, 123200J (19 December 2022); https://doi.org/10.1117/12.2644074
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KEYWORDS
Tumors

Collagen

Breast cancer

Second harmonic generation

Image segmentation

Breast

Feature extraction

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