arXiv Open Access 2022

Orientation recognition and correction of Cardiac MRI with deep neural network

Jiyao Liu

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Abstrak

In this paper, the problem of orientation correction in cardiac MRI images is investigated and a framework for orientation recognition via deep neural networks is proposed. For multi-modality MRI, we introduce a transfer learning strategy to transfer our proposed model from single modality to multi-modality. We embed the proposed network into the orientation correction command-line tool, which can implement orientation correction on 2D DICOM and 3D NIFTI images. Our source code, network models and tools are available at https://github.com/Jy-stdio/MSCMR_orient/

Topik & Kata Kunci

eess.IV cs.CV

Penulis (1)

Jiyao Liu

Format Sitasi

APA MLA BibTeX

Liu, J. (2022). Orientation recognition and correction of Cardiac MRI with deep neural network. https://arxiv.org/abs/2211.11336

Akses Cepat

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓