Researchers have developed a generative deep learning method to translate color flow doppler ultrasound videos into greyscale, using two networks to reconstruct anatomic structures and denoise images. This technique balances datasets by generating realistic synthetic ultrasound videos that perform equally well as real ones in classification and segmentation tasks, enhancing medical imaging utility and dataset design for various clinical applications.
Read the full article at arXiv cs.CV (Vision)
Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.
35
Ali NematiWritten by Ali
