MICLab was runner up for the for the Best Paper Award in Computer Aided Diagnosis at the SPIE Medical Imaging 2026 Conference.
The submitted work presents MEDPSeg, a computed tomography lung segmentation and quantification tool, a software wrapping around Diedre’s PhD work. Go give it a try at https://github.com/MICLab-Unicamp/medpseg. We have an online demo!
Checkout the paper [1] at this link
[1] Diedre S. Carmo, Jean A. Ribeiro, Alejandro P. Comellas, Joseph M. Reinhardt, Sarah E. Gerard, Letícia Rittner, Roberto A. Lotufo, “MEDPSeg: an offline pulmonary segmentation and quantification tool for ground‑glass opacities, consolidation, and other pulmonary structures on computed tomography,” Proc. SPIE 13926, Medical Imaging 2026: Computer-Aided Diagnosis, 139260A (2 April 2026); https://doi.org/10.1117/12.3087511