Advancing in Early Detection and Treatment of Breast Cancer
We are committed to the advancement of technology that will improve breast cancer survival rates worldwide.
We are committed to the advancement of technology that will improve breast cancer survival rates worldwide.
Automatically detects the masses in mammogram and helps in segmentation & classification of the tumor. The process aids in robust diagnosis by using double thresholding to obtain perfect location of tumor.
Enhancing the accuracy and efficiency of breast ultrasound imaging for improved breast health assessment and diagnosis.
Analyzing histopathology slides, to detect and classify HER2-positive breast cancer. identifying specific features and patterns associated with HER2-positive tumors, aiding in early detection and accurate diagnosis.
Our deep learning algorithm identifies detect patterns and anomalies within seconds with exceptional accuracy.
Identify signs at early stage, enabling timely intervention leading to better treatment options and chances of recovery.
Automatically prioritize scans based on case severity, saving clinicians’ time and ensuring patients receive timely care.
Automatically produce error-free and standardized reports, saving time and streamlining workflows.
Optimize resource allocation, streamline workflows, and improve operational efficiencies in healthcare systems.
Democratizing cancer screening & early detection, ensuring more people have access to timely diagnosis and treatment.
We work with a cross-disciplinary and translational approach to the healthcare / medical innovation,
on the scientific level but also including ethical, societal and economic issues.