June 13, 2022, 1:13 a.m. | Lilach Barkat, Moti Freiman, Haim Azhari

cs.CV updates on arXiv.org arxiv.org

Ultrasound is the second most used modality in medical imaging. It is cost
effective, hazardless, portable and implemented routinely in numerous clinical
procedures. Nonetheless, image quality is characterized by granulated
appearance, poor SNR and speckle noise. Specific for malignant tumors, the
margins are blurred and indistinct. Thus, there is a great need for improving
ultrasound image quality. We hypothesize that this can be achieved, using
neural networks, by translation into a more realistic display which mimics an
anatomical cut through …

arxiv cyclegan image translation

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne