A new method for early diagnosis and treatment of meniscus injury of knee joint in student physical fitness tests based on deep learning method

The findings reveal that the efficacy of the proposed approach exhibits a significant enhancement in contrast to the newly developed techniques.

Authors

Institutions

Publication Details

Journal
Bioimpacts
Published
2024-09-08
DOI
https://doi.org/10.34172/bi.30419
Citations
1
Primary Topic
E-commerce and Technology Innovations
Type
article
Field-Weighted Citation Impact
0.68
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A new method for early diagnosis and treatment of meniscus injury of knee joint in student physical fitness tests based on deep learning method

Zhenxiao Luo, Shuang Hao, Qingyu Yang, Yan Fang et al.
1 citations
Bioimpacts
E-commerce and Technology Innovations
0.68
article

A new method for early diagnosis and treatment of meniscus injury of knee joint in student physical fitness tests based on deep learning method

Zhenxiao Luo, Shuang Hao, Qingyu Yang, Yan Fang, Lu Liu
article en
1 citations

Abstract

The findings reveal that the efficacy of the proposed approach exhibits a significant enhancement in contrast to the newly developed techniques.

BioimpactsVol. 15
Chengdu University of Information Technology (CN), Chengdu University of Traditional Chinese Medicine (CN)
Good health and well-being
Openalex Percentile: Top 23%
E-commerce and Technology Innovations
0.68
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.