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Detecting Pest-Infested Forest Damage through Multispectral Satellite Imagery and Improved UNet++.

Autor: Zhang, Jingzong¹ (AUTHOR), Cong, Shijie¹ (AUTHOR), Zhang, Gen¹ (AUTHOR), Ma, Yongjun¹ (AUTHOR), Zhang, Yi¹ (AUTHOR), Huang, Jianping¹ (AUTHOR) jphuang@nefu.edu.cn

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基于黄金正弦混沌斑鬣狗优化算法的高光谱波段选择

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Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7ab34a616c334add175b8fced3c5134d
https://doi.org/10.3788/lop202259.1030003

Disease Quantification of Liver Lymphoma in CT Images without Lesion Segmentation.

Autor: Li K; Department of Artificial Intelligence, Wuxi Vocational College of Science and Technology, Wuxi 214028, China., Huang X; School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China., Sun C; School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China., Xie Q; School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China., Cong S; School of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin 150040, China.

Publikováno v: Current medical imaging [Curr Med Imaging] 2023 May 31. Date of Electronic Publication: 2023 May 31.