Artificial intelligence aided microwave coagulation therapy: Analysis of heat transfer to tumor tissue via hybrid modeling

Artificial intelligence aided microwave coagulation therapy: Analysis of heat transfer to tumor tissue via hybrid modeling

This study investigates the application of three regression models including Decision Tree (DT), Light Gradient Boosting Machine (LGBM), and Random Forest (RF) to predict temperature distribution in a tumor tissue based on two inputs, r(m) and z(m), using a dataset comprising over 64,000 records. Te...

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Bibliographic Details
Main Authors: Zheng Yang, KeWei Dai, Wujun Zhang, Rui Zhou, QingBin Wu, Liang Liu, HuaiRong Qu
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Case Studies in Thermal Engineering
Subjects:
Cancer tumor
Hyperthermia
Modeling
Computational analysis
Machine learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X2500187X
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