Multi‐scale, domain knowledge‐guided attention + random forest: a two‐stage deep learning‐based multi‐scale guided attention models to diagnose idiopathic pulmonary fibrosis from computed tomography images

• DOI: 10.1002/mp.16053
• Publication Date: 2022-10-18T09:25:43Z
• Authors: Wenxi Yu; Hua Zhou; Youngwon Choi; Jonathan G. Goldin; Pangyu Teng; Weng Kee Wong; Michael F. McNitt...; Matthew S. Brown; Grace Hyun J. Kim
• Keywords: High-resolution computed tomography

Idiopathic pulmonary fibrosis (IPF) is a progressive, irreversible, and usually fatal lung disease of unknown reasons, generally affecting the elderly population. Early diagnosis IPF crucial for triaging patients' treatment planning into anti-fibrotic or treatments other causes fibrosis. However, current workflow complicated time-consuming, which involves collaborative efforts from radiologists, pathologists, clinicians it largely subject to inter-observer variability.