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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
Conclusion

MONAI Label integrated with 3D-Slicer allows radiologists to easily perform image segmentation, facilitating the application of AI in their practice and research settings.

GALLERY