Search Results for author: Vladimir Groza

Found 3 papers, 1 papers with code

3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis

no code implementations • 27 Jul 2022 • Elias Munoz, Pierre Baudot, Van-Khoa Le, Charles Voyton, Benjamin Renoust, Danny Francis, Vladimir Groza, Jean-Christophe Brisset, Ezequiel Geremia, Antoine Iannessi, Yan Liu, Benoit Huet

This framework is applied to the prediction of the malignancy of lung's nodules.

Computed Tomography (CT)

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Chest X-Ray Pneumothorax Segmentation with the Multistep Post-Processing

no code implementations • MIDL 2019 • Vladimir Groza, Artur Kuzin

In this work we present recent results of the pneumothorax segmentation from the chest X-ray images.

Image Segmentation Segmentation +1

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CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation

1 code implementation • 17 Jan 2020 • A. Emre Kavur, N. Sinem Gezer, Mustafa Barış, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savaş Özkan, Bora Baydar, Dmitry Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde BOZDAĞI AKAR, Gözde Ünal, Oğuz Dicle, M. Alper Selver

The analysis shows that the performance of DL models for single modality (CT / MR) can show reliable volumetric analysis performance (DICE: 0. 98 $\pm$ 0. 00 / 0. 95 $\pm$ 0. 01) but the best MSSD performance remain limited (21. 89 $\pm$ 13. 94 / 20. 85 $\pm$ 10. 63 mm).

Organ Segmentation Segmentation

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