CODAvision: best practices and a user-friendly interface for rapid, customizable segmentation of medical images

Nature Protocols 2026 Open access

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Authors: Valentina Matos-Romero, Jaime Gómez-Becerril, André Forjaz, Lucie Dequiedt, Tyler Newton, Saurabh Joshi, Yu Shen, Eban Hanna, Praful R. Nair, Arrun Sivasubramanian, Si-Han Wang, Emily L. Lasse-Opsahl
+17 more Alexander T.F. Bell, Diogo Fróis-Vieira, Julianna M. Czum, Charles Steenbergen, Dao‐Fu Dai, Laura D. Wood, Luciane T. Kagohara, Elana J. Fertig, Marina Pasca di Magliano, Joseph J. Shatzel, Owen J. T. McCarty, Jamie O. Lo, Avi Z. Rosenberg, Ralph H. Hruban, Arrate Muñoz‐Barrutia, Denis Wirtz, Ashley Kiemen
DOI: 10.1038/s41596-026-01404-3
Cited by: 6
References: 56

Fields of Study & Subjects

AI in cancer detection Radiomics and Machine Learning in Medical Imaging Medical Image Segmentation Techniques

Publication details

Journal / source
Nature Protocols
Publisher
Springer Science and Business Media LLC
Publication date
7 July 2026
Language
EN