MICLab wins prize at the The 17th International Symposium on Medical Information Processing and Analysis
Our work on Multitasking segmentation of lung and COVID-19 findings in CT scans using modified EfficientDet, UNet and MobileNetV3 models received the SIPAIM award this year!
Congratulations to the authors, Diedre Carmo, Israel Campiotti, Irene Fantini, Livia Rodrigues, Leticia Rittner and Roberto Lotufo.
You can use our tool to create segmentations with the methodology published in this work here: https://github.com/MICLab-Unicamp/coedet
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