TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model Using MRI

TS-Net: A Deep Learning Framework for Automated Assessment of Longitudinal Tumor Volume Changes in an Orthotopic Breast Cancer Model Using MRI

Monitoring tumor volume changes in response to therapeutic agents is a critical step in preclinical drug development. Here, an automated magnetic resonance imaging (MRI)-based approach is proposed using a deep learning framework for tracking longitudinal tumor volume changes in an orthotopic breast...

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Bibliographic Details
Main Authors: Yunkyoung Jun, Seokha Jin, Noehyun Myung, Jiwoo Jeong, Jimin Lee, Hyung Joon Cho
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Tumor segmentation
deep learning
longitudinal MR imaging
orthotopic breast cancer model
therapeutic effect
Online Access:https://ieeexplore.ieee.org/document/10138909/

Internet

https://ieeexplore.ieee.org/document/10138909/

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