Zeng, Zhi and Cao, Zhenjie and Zhu, Junxia and Liu, Dan (2023) Bipedal Thermographic Segmentation Based on Diabetic Foot Layout Guide for Journal of Physics: Conference Series using Microsoft Word. In: Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China.
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Abstract
In this paper we propose an algorithm for segmentation of bipedal thermograms. To obtain the complete segmented foot region, we used a neural network trained using data obtained from active thermography. The foot region was segmented using improved U2-Net network. The results of experimental studies
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 16:07 |
| Last Modified: | 17 Apr 2026 03:32 |
| URI: | http://eprints.eai.eu/id/eprint/42398 |
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