Lung Nodule Segmentation with a Region-Based Fast Marching Method

When dealing with computed tomography volume data, the accurate segmentation of lung nodules is of great importance to lung cancer analysis and diagnosis, being a vital part of computer-aided diagnosis systems. However, due to the variety of lung nodules and the similarity of visual characteristics...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2021-03, Vol.21 (5), p.1908
Main Authors: Savic, Marko, Ma, Yanhe, Ramponi, Giovanni, Du, Weiwei, Peng, Yahui
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Artificial intelligence
Automation
computed tomography
Energy
fast marching method
Lung cancer
lung nodules
lung phantom
Medical diagnosis
Methods
Morphology
Neural networks
Optimization
Performance evaluation
segmentation
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