Skip to content

New project in breast cancer imaging

February 1, 2023

Vicorob has secured a project funded by the Spanish Ministry of Science and Innovation. The project, titled “Virtual Clinical Trials and Pre-clinical Experiments for Optimizing New Imaging and AI Algorithms in Breast Cancer,” aims to advance breast cancer screening techniques.

 

Breast screening has had a significant impact in reducing mortality rates, with standard mammography being the most commonly used method. However, there is still room for improvement, especially in certain women populations, which can be achieved through emerging imaging modalities and computer aided diagnosis systems. These systems are based on deep learning and have shown comparable results to radiologists, but their robustness remains an issue.

 

The team behind the project is made up of experts from the University of Girona and Complutense University of Madrid in medical physics, radiology, artificial intelligence, software development, and computational genomics.

 

The goal of the project is to develop AI algorithms based on deep learning, machine learning, and image analysis to enhance the imaging and diagnosis processes of breast cancer.

 

The development of AI algorithms in the field of breast cancer screening has the potential to improve the accuracy and efficiency of diagnoses and ultimately save lives.

 

For more information on the project click here

 

Share it!

More News

phd-eloy-img
July 1, 2016

Automated methods on Magnetic Resonance Brain Imaging in Multiple Sclerosis

News, Scientific Results

Tesis-miguel1
February 10, 2023

Doctoral Thesis: Underwater 3D Sensing using Structured Light: Development of an Underwater Laser Scanner and a Non-Rigid Point Cloud Registration Method

Scientific Results

Pdh_thesis_dina
June 21, 2019

DOCTORAL THESIS: Advanced Underwater Vehicle Manipulation through Real-Time Motion Planning

News, Scientific Results

erl4
September 27, 2017

Successful participation of our team at European Robotics League competition 2017

Underwater Robotics