Attribute-Aware Implicit Modality Alignment for Text Attribute Person Search

Autor: Wang, Xin, Liu, Fangfang, Li, Zheng, Guo, Caili

Text attribute person search aims to find specific pedestrians through given textual attributes, which is very meaningful in the scene of searching for designated pedestrians through witness descriptions. The key challenge is the significant modality

Externí odkaz: http://arxiv.org/abs/2406.03721

Macro investigation on China's engineering insurance industry: based on industrial organization theories

Autor: Zhou, Xiaowei, Wang, Yousong, Zhang, Yangbing, Liu, Fangfang

Publikováno v: Engineering, Construction and Architectural Management, 2023, Vol. 31, Issue 7, pp. 2977-2994.

Externí odkaz: http://www.emeraldinsight.com/doi/10.1108/ECAM-03-2022-0219

Progress and prospects for application of continuous glucose monitoring in patients with type 2 diabetes mellitus

Autor: PING Yanru^*, JIA Zhumin, HUANG Jiarong, LIU Fangfang, LIU Ke, LEI Jing, WANG Mengmeng, WANG Xuge

Publikováno v: Zhongguo linchuang yanjiu, Vol 37, Iss 7, Pp 1008-1012 (2024)

There is a large number of patients with type 2 diabetes mellitus (T2DM) in China, with great heterogeneity among individuals, and the glycemic control rate is low. Continuous glucose monitoring (CGM) can directly reflect the fluctuation of patient's

Externí odkaz: https://doaj.org/article/6dc4e52f18bd44ef8355e17975b3cc62

A prospective multi-cohort study identifies and validates a 5-gene peripheral blood signature predictive of immunotherapy response in non-small cell lung cancer.

Autor: Chen, Shaoqiu^1,2 (AUTHOR), Liu, Fangfang³ (AUTHOR), Fu, Yuanyuan¹ (AUTHOR), Deng, Chris K.¹ (AUTHOR), Borgia, Jeffrey A.⁴ (AUTHOR), Ayman, Abdul-Ghani⁵ (AUTHOR), Nasu, Masaki¹ (AUTHOR), Jijiwa, Mayumi¹ (AUTHOR), Yang, Hua¹ (AUTHOR), Gong, Ting^1,2 (AUTHOR), Wang, Junlong^1,2 (AUTHOR), Ling, Zhougui⁶ (AUTHOR), Wang, Xiaoyan⁷ (AUTHOR), Wang, Hongwei⁸ (AUTHOR) whw7037@126.com, Chu, Qian³ (AUTHOR) qianchu@tjh.tjmu.edu.cn, Deng, Youping¹ (AUTHOR) dengy@hawaii.edu

Publikováno v: Molecular Cancer. 11/6/2024, Vol. 23 Issue 1, p1-5. 5p.

Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation

Autor: Kurian, Nikhil Cherian, Lohan, Amit, Verghese, Gregory, Dharamshi, Nimish, Meena, Swati, Li, Mengyuan, Liu, Fangfang, Gillet, Cheryl, Rane, Swapnil, Grigoriadis, Anita, Sethi, Amit

Although the U-Net architecture has been extensively used for segmentation of medical images, we address two of its shortcomings in this work. Firstly, the accuracy of vanilla U-Net degrades when the target regions for segmentation exhibit significan

Externí odkaz: http://arxiv.org/abs/2205.01777