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Cancer Research
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实验鼠模型中骨代谢的早期检测机器学习算法
JoVE Journal
Cancer Research
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JoVE Journal
Cancer Research
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Please note that all translations are automatically generated.
Click here for the English version.
实验鼠模型中骨代谢的早期检测机器学习算法
DOI:
10.3791/61235-v
•
07:15 min
•
August 16, 2020
•
Stephan Ellmann
,
Lisa Seyler
,
Clarissa Gillmann
,
Vanessa Popp
,
Christoph Treutlein
,
Aline Bozec
,
Michael Uder
,
Tobias Bäuerle
1
Department of Radiology, University Hospital Erlangen
,
Friedrich-Alexander Universität Erlangen-Nürnberg
,
2
Department of Medical Physics in Radiation Oncology
,
German Cancer Research Center
,
3
Department of Internal Medicine 3, University Hospital Erlangen
,
Friedrich-Alexander Universität Erlangen-Nürnberg
Chapters
00:04
Introduction
00:46
Magnetic Resonance Imaging (MRI) Analysis
02:11
Positron Emission Tomography/Computed Tomography (PET/CT) Analysis
03:03
Tumor-Take Rate Calculation
03:30
Feature Selection
04:23
Machine Learning (ML) Analysis, Model-Averaged Neural Network (avNNet) ML Algorithm Training, and ML Algorithm Data Analysis
05:12
Results: Representative Machine Learning Algorithm Rat Bone Metastasis Detection
06:19
Conclusion
Summary
Automatic Translation
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Automatic Translation
该协议旨在训练机器学习算法,以结合从磁共振成像 (MRI) 和正电子发射断层扫描 (PET/CT) 中乳腺癌骨转移的大鼠模型中得出的成像参数,以检测早期转移性疾病并预测宏位值的后续进展。
Tags
Machine Learning
Bone Metastases
Early Detection
Experimental Rat Model
Imaging Parameters
Multimodal Imaging
Multiparametric Imaging
Dynamic Contrast-enhanced MRI
PET/CT
Region Of Interest
Standardized Uptake Value
Tumor Growth Rate
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