Start
Entdecken
nav.journalClub
Trends
Mehr
synapse
⌘+K
Sprache
Deutsch
Deutsch
Lightweight explainable computer aided diagnosis for pulmonary nodule classification using 3D CT | Synapse
March 3, 2026
Lightweight explainable computer aided diagnosis for pulmonary nodule classification using 3D CT
YD
Yudha Raja Singam D.
SM
Sukadev Meher
SD
Sobhan Kanti Dhara
Key Points
Improved performance in pulmonary nodule classification highlights the effectiveness of the approach.
The system achieved an accuracy rate of 89% in differentiating nodules, showing promising results.
Analysis of 3D CT images aided in the decision-making process of identifying nodules.
Significant external validation needed to confirm reliability across diverse clinical settings.
Mark Helpful
Like
Save
Bookmark
Relay
Share
Cite This Study
Copy
D. et al. (Tue,) studied this question.
synapsesocial.com/papers/69a75ad2c6e9836116a2122c
https://doi.org/https://doi.org/10.1016/j.bspc.2026.109671
Mark Helpful
Like
Save
Bookmark
Relay
Share