An Approach to Radiotherapy Treatment Planning based on Machine Learning Algorithms-Reference-Cited by-同舟云学术

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An Approach to Radiotherapy Treatment Planning based on Machine Learning Algorithms

Published:2024-04-18 Issue: Volume: Page:806-811
ISSN:
Container-title:2024 International Conference on Expert Clouds and Applications (ICOECA)
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Author:

Divya Komati¹,Bhargavi C H¹,Abirami M.¹,Arjun Ponnaganti²,Padmaja Pabbathi³,Dhanwanth Batini¹

Affiliation:

1. Panimalar Institute of Technology,Department of Computer Science and Engineering,Chennai,India

2. Vels Institute of Science, Technology & Advanced Studies (VISTAS),Department of Computer Science and Engineering,Chennai,India

3. St.Peter's Institute Of Higher Education And Research,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10612284/10612289/10612610.pdf?arnumber=10612610

Reference15 articles.

1. Incremental Learning With Selective Memory (ILSM): Towards Fast Prostate Localization for Image Guided Radiotherapy

2. Optimizing Interstitial Photodynamic Therapy Planning With Reinforcement Learning-Based Diffuser Placement

3. RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy

4. Automated method for extraction of lung tumors using a machine learning classifier with knowledge of radiation oncologists on data sets of planning CT and FDG-PET/CT images

5. External Validation of a Bayesian Network for Error Detection in Radiotherapy Plans

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