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Title:

Spectrum-image dual-modality fusion empowered accurate and efficient classification system for traditional Chinese medicine (https://www.sciencedirect.com/science/article/pii/S156625352300297X?casa_token=dsuQT1u_9A4AAAAA:OuzCF7hT2lUz4vE2l7TyVZr57QwDvT2umPLV-XiEZflg4fmjdzPuCPEYidJ-3eWGyjAr1-_B)

#In the text, there is a parameter with an incorrect unit in 3.2. The physical experiments. Please note the specific correction as follows:(delay: 2 us; pulse width: 9 us)

Explanation of Error in Table 3 and Correction:

table3

TCM classification system

This project provides part of the dataset (https://pan.baidu.com/s/1k65_nPI476NYdSfX4wMQgA?pwd=Hust) (code:hust ) for 'LIBS and Image Empowered Accurate and Efficient System for Classification of Traditional Chinese Medicine'. Thank you for your attention.

Citation

@article{gong2024spectrum, title={Spectrum-image dual-modality fusion empowered accurate and efficient classification system for traditional Chinese medicine}, author={Gong, Aojun and Guo, Lianbo and Yu, Yuan and Xia, Yunzhi and Deng, Xianjun and Hu, Zhenlin}, journal={Information Fusion}, volume={101}, pages={101981}, year={2024}, publisher={Elsevier} }

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LIBS and Image fusion, wolfberry dataset,

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