Sílvia Bessa

Sílvia Bessa

Sílvia received the MSc. in Bioengineering – Biomedical Engineering,  from the Faculty of Engineering of University of Porto (FEUP), Portugal, in March, 2016.
Early in her undergraduate years, she interned at National Institute of Biomedical Engineering (INEB), contributing in the NeurOn project – a project founded by FCT to conceive a new approach for regeneration and functional recovery of spinal cord injury. Here, she discovered my interest of promoting research through the use image analysis as a tool to obtain results in a faster, more reliable and less subjective way.
The leapt for medical image analysis came with the opportunity to join the Breast Cancer Survey (BCS) project, a project in a consortium of FEUP, Coimbra University (UC), Portuguese League Against Cancer (LPCC) and Emílio Azevedo Campos.SA (EAC.SA),  which aimed at developing automatic modules of screening and diagnosis of breast cancer to be implemented on PACS.
Currently, she is a PhD student in the informatics joint programme MAPi, a member of Visual Computing and Machine Learning (VCMI) and Breast Research Groups at INESC TEC, and a collaborator in the project BCCT.plan.
Her main research interests are image analysis, machine learning and decision support systems, particularly in the area of breast cancer.