Attention Eraser and Quantitative Measures for Automated Bone Age Assessment

Bone age assessment (BAA) aims to determine whether a child’s growth and development are normal concerning their chronological age. To predict bone age more accurately based on radiographs, and for the left-hand X-ray image... | Find, read and cite all the research you need on Tech Science Press

Authors

Institutions

Publication Details

Journal
Computers, materials & continua/Computers, materials & continua (Print)
Published
2024-11-15
DOI
https://doi.org/10.32604/cmc.2024.056077
Primary Topic
Forensic Anthropology and Bioarchaeology Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Attention Eraser and Quantitative Measures for Automated Bone Age Assessment

Liuqiang Shu, Lei Yu
Computers, materials & continua/Computers, materials & continua (Print)
Forensic Anthropology and Bioarchaeology Studies
article

Attention Eraser and Quantitative Measures for Automated Bone Age Assessment

Liuqiang Shu, Lei Yu
article en

Abstract

Bone age assessment (BAA) aims to determine whether a child’s growth and development are normal concerning their chronological age. To predict bone age more accurately based on radiographs, and for the left-hand X-ray image... | Find, read and cite all the research you need on Tech Science Press

Computers, materials & continua/Computers, materials & continua (Print)Vol. 82(1)
Chongqing Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing
Openalex Percentile: Top 64%
Forensic Anthropology and Bioarchaeology Studies
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.