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Congress: ECR24
Poster Number: C-21327
Type: EPOS Radiologist (educational)
DOI: 10.26044/ecr2024/C-21327
Authorblock: F. Buemi, C. Giardina, A. Perri, S. Caloggero, A. Celona, N. Sicilia, O. Ventura Spagnolo, F. Galletta, G. Mastroeni; Messina/IT
Disclosures:
Francesco Buemi: Other: supported by the group "Bracco imaging S.p.A"
Claudio Giardina: Other: supported by the group "Bracco imaging S.p.A"
Alessandro Perri: Other: supported by the group "Bracco imaging S.p.A"
Simona Caloggero: Other: supported by the group "Bracco imaging S.p.A"
Antonio Celona: Other: supported by the group "Bracco imaging S.p.A"
Nunziella Sicilia: Other: supported by the group "Bracco imaging S.p.A"
Orazio Ventura Spagnolo: Other: supported by the group "Bracco imaging S.p.A"
Fabio Galletta: Other: supported by the group "Bracco imaging S.p.A"
Giampiero Mastroeni: Other: supported by the group "Bracco imaging S.p.A"
Keywords: Artificial Intelligence, CT, MR, Computer Applications-3D, Computer Applications-Detection, diagnosis, Segmentation, Education and training
Learning objectives
  1. To serve as a user-friendly and basic introduction to MONAl Label specifically tailored for radiologists who do not possess a deep understanding of artificial intelligence (Al) but are keen to explore its applications.
  2. To demonstrate the functionality of MONAI Label and its practical applications through 3D-Slicer.
  3. To serve as a simple and fundamental introduction to MONAI Label for radiologists. For more in-depth and technical information, we will provide relevant references. 
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