ROSE is a powerful and easy-to-use software application that automatically categorizes DICOM medical images such as MRI, CT SCAN, Sonography, Radiography, PET Scan, OPG and …It is designed to help medical research centers and universities and other healthcare organizations organize and manage their vast image libraries.

Features:

– Automatic categorization: ROSE uses a variety of algorithms to automatically categorize images based on their type, modality, patient, and other criteria.

-High accuracy: ROSE is highly accurate, with an error rate of less than 1%.

-Scalability: ROSE can be scaled to handle even the largest image libraries.

Efficiency: ROSE is fast and efficient, with the ability to categorize thousands of images in minutes.

Benefits:

Improved efficiency: ROSE can save hours of manual labor.

Improved accuracy: ROSE can help to ensure that images are properly categorized and stored.

Improved patient care: ROSE can make it easier for healthcare providers to find the images they need when they need them