Pulmonary nodule detection based on model fusion and adaptive false positive reduction

Yixin Xiong; Lei Deng; Yujuan Wang

doi:10.1016/j.eswa.2023.121890

ScienceGate Book Chapters

JOURNAL ARTICLE

Pulmonary nodule detection based on model fusion and adaptive false positive reduction

Yixin Xiong Lei Deng Yujuan Wang

Year: 2023 Journal: Expert Systems with Applications Vol: 238 Pages: 121890-121890 Publisher: Elsevier BV

DOI: 10.1016/j.eswa.2023.121890

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Nodule (geology) Artificial intelligence False positive rate Reduction (mathematics) Pattern recognition (psychology) Convolutional neural network Fusion Metric (unit) Bounding overwatch Stage (stratigraphy) Mathematics

Metrics

Cited By

3.04

FWCI (Field Weighted Citation Impact)

Refs

0.90

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

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Pulmonary nodule detection based on model fusion and adaptive false positive reduction

Metrics

Citation History

Topics

Related Documents

Pulmonary Nodule Detection and False Positive Reduction based on Mamba

False positive reduction of vasculature for pulmonary nodule detection

Quantum-Involution inspire false positive reduction in pulmonary nodule detection

Cross attention guided multi-scale feature fusion for false-positive reduction in pulmonary nodule detection

False-Positive Reduction of Pulmonary Nodule Detection Based on Deformable Convolutional Neural Networks