Lung-YOLO: Multiscale feature fusion attention and cross-layer aggregation for lung nodule detection

Chaosheng Tang; Feifei Zhou; Junding Sun; Yudong Zhang

doi:10.1016/j.bspc.2024.106815

ScienceGate Book Chapters

JOURNAL ARTICLE

Lung-YOLO: Multiscale feature fusion attention and cross-layer aggregation for lung nodule detection

Chaosheng Tang Feifei Zhou Junding Sun Yudong Zhang

Year: 2024 Journal: Biomedical Signal Processing and Control Vol: 99 Pages: 106815-106815 Publisher: Elsevier BV

DOI: 10.1016/j.bspc.2024.106815

Get Full-Text PDF Get Analytical Report

Keywords:

Lung Computer science Feature (linguistics) Nodule (geology) Fusion Artificial intelligence Layer (electronics) Pattern recognition (psychology) Computer vision Medicine Materials science Biology Nanotechnology Internal medicine

Metrics

Cited By

9.49

FWCI (Field Weighted Citation Impact)

Refs

0.96

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Lung Cancer Diagnosis and Treatment

Health Sciences → Medicine → Pulmonary and Respiratory Medicine

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Air Quality Monitoring and Forecasting

Physical Sciences → Environmental Science → Environmental Engineering

Lung-YOLO: Multiscale feature fusion attention and cross-layer aggregation for lung nodule detection

Metrics

Citation History

Topics

Related Documents

Lung nodule detection algorithm based on Mamba and global multiscale feature fusion

Lung Nodule Detection Based on Spike-Driven Self-Attention YOLO

YOLO-MSRF for lung nodule detection

MCAFNet: multiscale cross-layer attention fusion network for honeycomb lung lesion segmentation

Feature fusion for lung nodule classification