End-to-end SYNTAX score prediction: benchmark and methods
<|reference_start|>End-to-end SYNTAX score prediction: benchmark and methods: The SYNTAX score has become a widely used measure of coronary disease severity , crucial in selecting the optimal mode of revascularization. This paper introduces a new medical regression and classification problem - automatically estimating SYNTAX score from coronary angiography. Our study presents a comprehensive dataset of 1,844 patients, featuring a balanced distribution of individuals with zero and non-zero scores. This dataset includes a first-of-its-kind, complete coronary angiography samples captured through a multi-view X-ray video, allowing one to observe coronary arteries from multiple perspectives. Furthermore, we present a novel, fully automatic end-to-end method for estimating the SYNTAX. For such a difficult task, we have achieved a solid coefficient of determination R2 of 0.51 in score predictions.<|reference_end|>
@article{ponomarchuk2024end-to-end,
    title={End-to-end SYNTAX score prediction: benchmark and methods},
    author={Alexander Ponomarchuk, Ivan Kruzhilov, Galina Zubkova, Artem Shadrin,
  Ruslan Utegenov, Ivan Bessonov, Pavel Blinov},
    journal={arXiv preprint arXiv:2407.19894},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.19894},
    primaryClass={cs.CV eess.IV}
}