Network structure of the improved RT-DETR model.

Network structure of the improved RT-DETR model.

<div><p>Currently, pulmonary nodules detection work mostly focus on recognition and diagnosis of solid nodules. However, ground glass nodules have higher probability of malignancy, posing greater identification challenges and thus greater value for detection. To achieve rapid and accurat...

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Bibliographic Details
Main Author: Siyuan Tang (5963312) (author)
Other Authors: Qiangqiang Bao (20861856) (author), Qingyu Ji (20861859) (author), Tong Wang (87696) (author), Naiyu Wang (13280007) (author), Min Yang (146229) (author), Yu Gu (162342) (author), Jinliang Zhao (5143007) (author), Yuhan Qu (13175025) (author), Siriguleng Wang (20861862) (author)
Published: 2025
Subjects:
Biophysics
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
xlink "> currently
thus greater value
specialized dataset containing
reduce redundant computation
mixed dataset composed
capturing complex features
ground glass nodules
blurred edge nodules
higher computational efficiency
paper achieves improvement
average precision improvement
solid nodules
higher probability
suggesting optimization
smaller number
idri data
following enhancement
fcge blocks
evaluation metrics
dgak module
cooperating hospitals
clinical data
ccff module
backbone network
article proposed
algorithm based
aifi module
achieve rapid
7 %,
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