Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection

Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection

Abstract Accurate and fully automated pancreas segmentation is critical for advancing imaging biomarkers in early pancreatic cancer detection and for biomarker discovery in endocrine and exocrine pancreatic diseases. We developed and evaluated a deep learning (DL)-based convolutional neural network...

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Bibliographic Details
Main Authors: Sovanlal Mukherjee, Ajith Antony, Nandakumar G. Patnam, Kamaxi H. Trivedi, Aashna Karbhari, Madhu Nagaraj, Murlidhar Murlidhar, Ajit H. Goenka
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Pancreas
Artificial intelligence
Volumetric segmentation
Computed tomography
Online Access:https://doi.org/10.1038/s41598-025-01802-9
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https://doi.org/10.1038/s41598-025-01802-9

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