Výsledky vyhledávání

Akademický článek

Recognition and Classification of Deep Learning in Soybean Leaf Image Data Management

Autor: LU Lina, YU Xiao

Publikováno v: Nongye tushu qingbao xuebao, Vol 35, Iss 2, Pp 87-94 (2023)

[Purpose/Significance] We used to process soybean leaf data by looking at them and process data manually, but this method is very inefficient. In order to improve the classification accuracy and efficiency of soybean leaf images, further for storage

Externí odkaz: https://doaj.org/article/be9d6c72c8a543a894bd367548d02f1b

Zobrazit plný text záznamu

Akademický článek

Group identity modulates bidding behavior in repeated lottery contest: neural signatures from event-related potentials and electroencephalography oscillations

Autor: Su Hao, Pan Jiali, Zhang Xiaomin, Wang Xiaoqin, Lu Lina, Qing Xin, Liu Qin

Publikováno v: Frontiers in Neuroscience, Vol 17 (2023)

A contest usually involves expenditures, termed “overbidding,” exceeding the theoretical Nash equilibrium. A considerable number of studies have shown that group identity can affect decision-making and competitive behavior, thus providing a new p

Externí odkaz: https://doaj.org/article/75d8d76e36d346fdbdd2fcf26e147d87

Zobrazit plný text záznamu

Report

Cross-Fundus Transformer for Multi-modal Diabetic Retinopathy Grading with Cataract

Autor: Xiao, Fan, Hou, Junlin, Zhao, Ruiwei, Feng, Rui, Zou, Haidong, Lu, Lina, Xu, Yi, Zhang, Juzhao

Diabetic retinopathy (DR) is a leading cause of blindness worldwide and a common complication of diabetes. As two different imaging tools for DR grading, color fundus photography (CFP) and infrared fundus photography (IFP) are highly-correlated and c

Externí odkaz: http://arxiv.org/abs/2411.00726

Zobrazit plný text záznamu

Report

Cross-Field Transformer for Diabetic Retinopathy Grading on Two-field Fundus Images

Autor: Hou, Junlin, Xu, Jilan, Xiao, Fan, Zhao, Rui-Wei, Zhang, Yuejie, Zou, Haidong, Lu, Lina, Xue, Wenwen, Feng, Rui

Automatic diabetic retinopathy (DR) grading based on fundus photography has been widely explored to benefit the routine screening and early treatment. Existing researches generally focus on single-field fundus images, which have limited field of view

Externí odkaz: http://arxiv.org/abs/2211.14552

Zobrazit plný text záznamu