Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

Deep Learning-Based Tumor Segmentation of Murine Magnetic Resonance Images of Prostate Cancer Patient-Derived Xenografts

Background/Objective: Longitudinal in vivo studies of murine xenograft models are widely utilized in oncology to study cancer biology and develop therapies. Magnetic resonance imaging (MRI) of these tumors is an invaluable tool for monitoring tumor growth and characterizing the tumors as well. Metho...

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Bibliographic Details
Main Authors: Satvik Nayak, Henry Salkever, Ernesto Diaz, Avantika Sinha, Nikhil Deveshwar, Madeline Hess, Matthew Gibbons, Sule Sahin, Abhejit Rajagopal, Peder E. Z. Larson, Renuka Sriram
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Tomography
Subjects:
prostate cancer
magnetic resonance imaging
patient-derived xenografts
deep learning
tumor segmentation
Online Access:https://www.mdpi.com/2379-139X/11/3/21
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