Per-Pixel Lung Thickness and Lung Capacity Estimation on Chest X-Rays using Convolutional Neural Networks. (arXiv:2110.12509v3 [cs.CV] UPDATED)

Estimating the lung depth on x-ray images could provide both an accurate
opportunistic lung volume estimation during clinical routine and improve image
contrast in modern structural chest imaging techniques like x-ray dark-field
imaging. We present a method based on a convolutional neural network that
allows a per-pixel lung thickness estimation and subsequent total lung capacity
estimation. The network was trained and validated using 5250 simulated
radiographs generated from 525 real CT scans. Furthermore, we are able to infer
the model …

arxiv convolutional neural networks cv networks neural networks pixel