arXiv Open Access 2020

Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach

Isarun Chamveha Treethep Promwiset Trongtum Tongdee Pairash Saiviroonporn Warasinee Chaisangmongkon
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Abstrak

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.

Topik & Kata Kunci

Penulis (5)

I

Isarun Chamveha

T

Treethep Promwiset

T

Trongtum Tongdee

P

Pairash Saiviroonporn

W

Warasinee Chaisangmongkon

Format Sitasi

Chamveha, I., Promwiset, T., Tongdee, T., Saiviroonporn, P., Chaisangmongkon, W. (2020). Automated Cardiothoracic Ratio Calculation and Cardiomegaly Detection using Deep Learning Approach. https://arxiv.org/abs/2002.07468

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Informasi Jurnal
Tahun Terbit
2020
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓