PUBLICATIONS AND REPORTS
Discover our latest scientific publications
The study looks at how microwave imaging could help classify breast density in a safer and more comfortable way, especially for younger women with dense...
A new review paper led by SESCAM, entitled “Clinical readiness of microwave imaging for breast cancer: a state-of-the-art review of current evidence and challenges” explores...
The study, published on PLOS ONE, represents an important milestone for the introduction of MammoWave into clinical practice, for helping in breast lesion identification in...
This work presents the retrospective implementation of several supervised machine learning approaches on the microwave data obtained by MammoWave device in the framework of a...
This study aims to evaluate the capabilities of an emerging imaging technique, Microwave Breast Imaging (MBI), in detecting different typologies of breast cancer via MammoWave...
This work demonstrates that Machine learning (ML) can help understand phenomena from the frequency spectrum collected through MammoWave in response to the stimulus, segregating breasts...
