Medical Imaging Toolbox Interface for MONAI Label Library

Use MONAI library in MATLAB

Medical Open Network for AI (MONAI) Label [1],[2] is a deep learning framework for labeling medical images. You can connect to MONAI Label within the Medical Image Labeler app to apply fully automated and interactive deep learning models for segmenting radiology images. To learn more, see the Get Started with MONAI Label in Medical Image Labeler documentation page. For an example, see Segment CT Scan Using MONAI Label.

You must install the Medical Imaging Toolbox™ Interface for MONAI Label Library support package to start a local MONAI Label server within the Medical Image Labeler app. You do not need the support package to connect to an existing remote MONAI Label server.

To learn more about MONAI Label, visit the MONAI Label Documentation and the MONAI Label GitHub® Repository.

References

[1] Diaz-Pinto, Andres, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, et al. “MONAI Label: A Framework for AI-Assisted Interactive Labeling of 3D Medical Images,” 2022. https://doi.org/10.48550/ARXIV.2203.12362.

[2] Diaz-Pinto, Andres, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, et al. “DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.” In Data Augmentation, Labelling, and Imperfections, edited by Hien V. Nguyen, Sharon X. Huang, and Yuan Xue, 11–21. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, 2022. https://doi.org/10.1007/978-3-031-17027-0_2.