Machine Learning (ML) Analysis, Model-Averaged Neural Network (avNNet) ML Algorithm Training, and ML Algorithm Data Analysis
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Results: Representative Machine Learning Algorithm Rat Bone Metastasis Detection
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Conclusion
Transcription
This protocol facilitates the development of a machine learning algorithm for predicting the growth of bone metastases in an experimental model at the stage of early organ colonization. The main advantage of this technique is that it combines seve
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This protocol was designed to train a machine learning algorithm to use a combination of imaging parameters derived from magnetic resonance imaging (MRI) and positron emission tomography/computed tomography (PET/CT) in a rat model of breast cancer bone metastases to detect early metastatic disease and predict subsequent progression to macrometastases.