Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model

Authors

Institutions

Publication Details

Journal
Frontiers in Physiology
Published
2025-11-25
DOI
https://doi.org/10.3389/fphys.2025.1701545
Primary Topic
Pregnancy and Medication Impact
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model

Zhuoliang Liu, Zhenning Su, Zilong Qiu, Yuzhi Chen et al.
Frontiers in Physiology
Pregnancy and Medication Impact
article

Deep learning approach for objective differentiation of kidney deficiency syndrome in reproductive age females: a tongue-face fusion model

Zhuoliang Liu, Zhenning Su, Zilong Qiu, Yuzhi Chen, Yang Li-lin, Jie Gao, Yingxuan Zhang, Songping Luo, Xiaojing Liu, Si Chen, Ran Wang, Jialing Li, Zhigang Yu, Kaiwei Li, Yanxi Huang, Chen Huang, Kun Zou, Yuhong Xu, Wu Zhou, Haiwang Wu, Xiaozhen Wu, Feilin Deng
article en

Abstract

No abstract available for this paper.
Frontiers in PhysiologyVol. 16
Guangzhou University of Chinese Medicine (CN), First Affiliated Hospital of Guangzhou University of Chinese Medicine (CN)
National Natural Science Foundation of China, State Administration of Traditional Chinese Medicine of the People's Republic of China, Guangzhou University of Chinese Medicine, Guangzhou University
Openalex Percentile: Top 53%
Pregnancy and Medication Impact
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.