Medical Imaging

Our company’s involvement in the FastMRI project was an exciting opportunity for us to contribute to cutting-edge research in the field of medical imaging. As a team, we developed and implemented notebooks to visualize the preprocessing steps and reconstruct the MRI images.

One of our key contributions to the FastMRI project was training a U-Net model with customized preprocessing to enhance metrics such as PSNR, SSIM, and NMSE. This allowed us to gain practical experience in machine learning and deep learning techniques and understand their application to medical imaging.

Medical Imaging Services by Lvisionai

Throughout the project, our team worked closely to share ideas, troubleshoot problems, and develop innovative solutions. We are proud of our contributions to this project and grateful for the opportunity to collaborate with leading researchers in the field. Our involvement in the FastMRI project has allowed us to develop new skills and expertise in machine learning, data analysis, and medical imaging. We are excited to bring this experience to our clients and continue to push the boundaries of what is possible in medical imaging.

01 - Consultation

02 - Training

03 - Workflow Customization

04 - Monitoring & Analytics

05 - Feedback

Flexible Engagement

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No need to worry about scaling requirements. Go from thousands to million images processed with ease

Standards & Compliance

We have put all practices and quality checks in place to comply with the latest data handling and security standards.

Self-Service Machine Translation

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