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Meta-analysis of Lung Cancer detection methods applied to X-ray images

Technologies: Deep Learning, CNN, SVM, statistics

We’ve done a meta-analysis of 600+ scientific papers studying automated methods for Lung Cancer detection in X-ray images for the period from 1993 till 2020. The goal was to determine the effectiveness of Deep Learning-based methods including Convolutional Neural Networks (CNN) compared to classical methods such as support vector machines (SVM), decision trees, random forests, linear discriminant analysis (LDA), clustering methods etc.

Meta-analysis includes comparing the two groups of methods using statistical metrics, forest plot and funnel plot.

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Computer Vision, Machine Learning
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