RNNet-MST: A ResNet-50 with Multi-Scale Transformer Blocks for Pulmonary Nodule Classification and Attention-Based Localization on Chest X-Ray Images

<b>Background/Objectives</b>: Lung cancer survival depends on early detection; however, in the Philippines, high radiologist workloads and the anatomical complexity of chest X-rays (CXRs) contribute to missed pulmonary nodules and false-negative diagnoses. This study aims to develop an enhanced deep...

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Bibliografische Detailangaben

Hauptverfasser:	Edrill F. Bilan, Emman T. Manduriaga, Hernando S. Salapare, Ymir M. Garcia, Khatalyn E. Mata, Rose Anna R. Banal, Imelda C. Ang, Wei-Ta Chu, Dan Michael A. Cortez
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	MDPI AG 2026-05-01
Schriftenreihe:	Diagnostics
Schlagworte:	RNNet-MST pulmonary nodule detection pulmonary nodule classification deep learning ResNet-50 transformers
Online-Zugang:	https://www.mdpi.com/2075-4418/16/10/1574
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