Saltar al contenido

VICOROB team has obtained the third position at the Digital Breast Tomosynthesis Lesion Detection Grant Challenge

The Medical Image Analysis Lab participated this last January in the Digital Breast Tomosynthesis Lesion detection Challenged, jointly organized by the International Society for Optics and Photonics (SPIE), the American Association of Physicists in Medicine (AAPM), the National Cancer Institute (NCI) and the Duke Center for Artificial Intelligence in Radiology (DAIR).

 

The team achieved a well deserved third place in the challenge, after the teams from New York University (USA) and IBM Haifa Research Lab (Israel), and had the chance to present their lesion detection approach at the SPIE Medical Imaging Conference, usually celebrated in the USA but this time held online due to COVID-19 pandemic.

 

You can check the presentation at https://spie.org/conferences-and-exhibitions/medical-imaging/digital-detection-challenge and you can find the results of challenge at http://spie-aapm-nci-dair.westus2.cloudapp.azure.com/competitions/4#results

The research presented in the challenge is a result of the ongoing research in the ICEBERG research project on Image Computing for Enhancing Breast Cancer Radiomics, leaded by Robert Martí in VICOROB and with the collaboration of the Universidad Complutense de Madrid, Parc Taulí, Hospital Josep Trueta and Clínica Girona.

Share it!

More News

inventeurs-eu
marzo 5, 2019

InventEUrs finalitza amb la creació d’una plataforma col·laborativa entre escoles d’arreu del món

Educational Robotics, Sin categorizar, Projects

3D mapping
junio 2, 2014

Ricard Campos defends his PhD thesis «Surface Reconstruction Methods for Seafloor Modelling»

Sin categorizar, Scientific Results, Underwater Vision

albert-clerigues--
febrero 13, 2023

Doctoral Thesis: Deep learning methods for extraction of neuroimage markers in the prognosis of brain pathologies

Medical Imaging Lab, Sin categorizar, Scientific Results

MRI scans
noviembre 11, 2025

New brain atlas offers unprecedented detail in MRI scans

Medical Imaging Lab