Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach

Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach

We propose an algorithm for calculating the cardiothoracic ratio (CTR) from chest X-ray films. Our approach applies a deep learning model based on U-Net with VGG16 encoder to extract lung and heart masks from chest X-ray images and calculate CTR from the extents of obtained masks. Human radiologists...

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Bibliographic Details
Main Authors: Chamveha, Isarun, Promwiset, Treethep, Tongdee, Trongtum, Saiviroonporn, Pairash, Chaisangmongkon, Warasinee
Format: Journal Article
Language:English
Published: 18-02-2020
Subjects:
Computer Science - Computer Vision and Pattern Recognition
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Summary:We propose an algorithm for calculating the cardiothoracic ratio (CTR) from chest X-ray films. Our approach applies a deep learning model based on U-Net with VGG16 encoder to extract lung and heart masks from chest X-ray images and calculate CTR from the extents of obtained masks. Human radiologists evaluated our CTR measurements, and $76.5\%$ were accepted to be included in medical reports without any need for adjustment. This result translates to a large amount of time and labor saved for radiologists using our automated tools.
DOI:10.48550/arxiv.2002.07468