Cargando…

Deep Learning for Patient-Specific Quality Assurance: Predicting Gamma Passing Rates for IMRT Based on Delivery Fluence Informed by log Files

Objectives: In this study, we propose a deep learning-based approach to predict Intensity-modulated radiation therapy (IMRT) quality assurance (QA) gamma passing rates using delivery fluence informed by log files. Methods: A total of 112 IMRT plans for chest cancers were planned and measured by port...

Descripción completa

Detalles Bibliográficos
Autores principales:	Huang, Ying, Pi, Yifei, Ma, Kui, Miao, Xiaojuan, Fu, Sichao, Zhu, Zhen, Cheng, Yifan, Zhang, Zhepei, Chen, Hua, Wang, Hao, Gu, Hengle, Shao, Yan, Duan, Yanhua, Feng, Aihui, Zhuo, Weihai, Xu, Zhiyong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	SAGE Publications 2022
Materias:	Novel Applications of Artificial Intelligence in Cancer Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9218492/ https://www.ncbi.nlm.nih.gov/pubmed/35726209 http://dx.doi.org/10.1177/15330338221104881

Ejemplares similares

Virtual Patient-Specific Quality Assurance of IMRT Using UNet++: Classification, Gamma Passing Rates Prediction, and Dose Difference Prediction
por: Huang, Ying, et al.
Publicado: (2021)

Image-based features in machine learning to identify delivery errors and predict error magnitude for patient-specific IMRT quality assurance
por: Huang, Ying, et al.
Publicado: (2023)

Intention Recognition With ProbLog
por: Smith, Gary B., et al.
Publicado: (2022)

Machine Learning-Based Quality Assurance for Automatic Segmentation of Head-and-Neck Organs-at-Risk in Radiotherapy
por: Luan, Shunyao, et al.
Publicado: (2023)

Fluence Map Prediction Using Deep Learning Models – Direct Plan Generation for Pancreas Stereotactic Body Radiation Therapy
por: Wang, Wentao, et al.
Publicado: (2020)

Trust Dynamics and Verbal Assurances in Human Robot Physical Collaboration
por: Alhaji, Basel, et al.
Publicado: (2021)

Corrigendum: Trust Dynamics and Verbal Assurances in Human Robot Physical Collaboration
por: Alhaji, Basel, et al.
Publicado: (2021)

Overview and commentary of the CDEI's extended roadmap to an effective AI assurance ecosystem
por: Barrance, Ethan, et al.
Publicado: (2022)

Discovering generative models from event logs: data-driven simulation vs deep learning
por: Camargo, Manuel, et al.
Publicado: (2021)

Digital Articulation: Examining Text-Based Linguistic Performances in Mobile Communication Through Keystroke-Logging Analysis
por: Schneier, Joel
Publicado: (2021)

Explanatory machine learning for justified trust in human-AI collaboration: Experiments on file deletion recommendations
por: Göbel, Kyra, et al.
Publicado: (2022)

Verification of dynamic and segmental IMRT delivery by dynamic log file analysis
por: Litzenberg, Dale W., et al.
Publicado: (2002)

Recognition of multi-modal fusion images with irregular interference
por: Wang, Yawei, et al.
Publicado: (2022)

Deep learning for aspect-based sentiment analysis: a review
por: Zhu, Linan, et al.
Publicado: (2022)

Improved YOLOv4-tiny based on attention mechanism for skin detection
por: Li, Ping, et al.
Publicado: (2023)

A multi-institution evaluation of MLC log files and performance in IMRT delivery
por: Kerns, James R, et al.
Publicado: (2014)

A novel method for credit scoring based on feature transformation and ensemble model
por: Li, Hongxiang, et al.
Publicado: (2021)

LCDAE: Data Augmented Ensemble Framework for Lung Cancer Classification
por: Ren, Zeyu, et al.
Publicado: (2022)

Utilizing the TractSeg Tool for Automatic Corticospinal Tract Segmentation in Patients With Brain Pathology
por: Moshe, Yael H., et al.
Publicado: (2022)

The Application of Morphogo in the Detection of Megakaryocytes from Bone Marrow Digital Images with Convolutional Neural Networks
por: Wang, Xiaofen, et al.
Publicado: (2023)

Weakly Supervised Learning for Poorly Differentiated Adenocarcinoma Classification in GastricEndoscopic Submucosal Dissection Whole Slide Images
por: Tsuneki, Masayuki, et al.
Publicado: (2022)

Machine Learning Radiomics Model for External and Internal Respiratory Motion Correlation Prediction in Lung Tumor
por: Zhang, Xiangyu, et al.
Publicado: (2022)

Direct Dose Prediction With Deep Learning for Postoperative Cervical Cancer Underwent Volumetric Modulated Arc Therapy
por: Yu, Wenliang, et al.
Publicado: (2023)

ReRNet: A Deep Learning Network for Classifying Blood Cells
por: Zhu, Ziquan, et al.
Publicado: (2023)

Comparison Between Manual and Automated Assessment of Ki-67 in Breast Carcinoma: Test of a Simple Method in Daily Practice
por: Catteau, Xavier, et al.
Publicado: (2023)

Novel Applications of Artificial Intelligence in Cancer Research
por: Tsuneki, Masayuki, et al.
Publicado: (2023)

Predicting Rectal Cancer Response to Total Neoadjuvant Treatment Using an Artificial Intelligence Model Based on Magnetic Resonance Imaging and Clinical Data
por: Ouyang, Ganlu, et al.
Publicado: (2023)

Multithreaded two-pass connected components labelling and particle analysis in ImageJ
por: Doube, Michael
Publicado: (2021)

Parallel/Opposed: IMRT QA using treatment log files is superior to conventional measurement‐based method
por: Childress, Nathan, et al.
Publicado: (2015)

Investigation of error detection capabilities of phantom, EPID and MLC log file based IMRT QA methods
por: Defoor, Dewayne L., et al.
Publicado: (2017)

Artificial intelligence for analyzing orthopedic trauma radiographs: Deep learning algorithms—are they on par with humans for diagnosing fractures?
por: Olczak, Jakub, et al.
Publicado: (2017)

Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers
por: Kim, Dong Wook, et al.
Publicado: (2019)

Mysteries, Epistemological Modesty, and Artificial Intelligence in Surgery
por: Loftus, Tyler J., et al.
Publicado: (2020)

A Frequency-Domain Machine Learning Method for Dual-Calibrated fMRI Mapping of Oxygen Extraction Fraction (OEF) and Cerebral Metabolic Rate of Oxygen Consumption (CMRO(2))
por: Germuska, Michael, et al.
Publicado: (2020)

Artificial intelligence-guided tissue analysis combined with immune infiltrate assessment predicts stage III colon cancer outcomes in PETACC08 study
por: Reichling, Cynthia, et al.
Publicado: (2020)

Bringing Big Data to Bear in Environmental Public Health: Challenges and Recommendations
por: Comess, Saskia, et al.
Publicado: (2020)

On the Adaptability of Recurrent Neural Networks for Real-Time Jazz Improvisation Accompaniment
por: Kritsis, Kosmas, et al.
Publicado: (2021)

Case Report: Utilizing AI and NLP to Assist with Healthcare and Rehabilitation During the COVID-19 Pandemic
por: Carriere, Jay, et al.
Publicado: (2021)

A survey on exponential random graph models: an application perspective
por: Ghafouri, Saeid, et al.
Publicado: (2020)

Effects of data count and image scaling on Deep Learning training
por: Hirahara, Daisuke, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_9gs7bhn8aqpn7t3rgj8nr0c7ub