Collection of Head Images during RadiotheraPy (CHIRP)
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Patient CBCTs.7z
Patient Dose Files.7z
Patient Planning CTs.7z
Patient Plans.7z
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Patient Structure Sets.7z
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https://hdl.handle.net/2123/34250Metadata
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DatasetAuthor/s
Gardner, Mark ThomasBouchta, Youssef Ben
Truant, Daniel
Mylonas, Adam
Sykes, Jonathan
Sundaresan, Purnima
Keall, Paul J.
Abstract
This dataset supports the research output, Deep learning-based real-time detection of head and neck tumors during radiation therapy, https://doi.org/10.1088/1361-6560/adf40e. The Collection of Head Images during RadiotheraPy (CHIRP) involves collecting conventional images for VMAT ...
See moreThis dataset supports the research output, Deep learning-based real-time detection of head and neck tumors during radiation therapy, https://doi.org/10.1088/1361-6560/adf40e. The Collection of Head Images during RadiotheraPy (CHIRP) involves collecting conventional images for VMAT treatments for head and neck radiation therapy treatments. Data was collected for 30 patients that were treated at Blacktown Hospital between 2022-2023. This data was collected for the Remove the Mask project (https://image-x.sydney.edu.au/home/remove-the-mask/) to study patient motion between and during treatment sessions and was used to generate the results featured in the paper "Deep learning-based real-time detection of head and neck tumors during radiation therapy" (10.1088/1361-6560/ADF40E)
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See moreThis dataset supports the research output, Deep learning-based real-time detection of head and neck tumors during radiation therapy, https://doi.org/10.1088/1361-6560/adf40e. The Collection of Head Images during RadiotheraPy (CHIRP) involves collecting conventional images for VMAT treatments for head and neck radiation therapy treatments. Data was collected for 30 patients that were treated at Blacktown Hospital between 2022-2023. This data was collected for the Remove the Mask project (https://image-x.sydney.edu.au/home/remove-the-mask/) to study patient motion between and during treatment sessions and was used to generate the results featured in the paper "Deep learning-based real-time detection of head and neck tumors during radiation therapy" (10.1088/1361-6560/ADF40E)
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Date
2025-08-26Licence
Creative Commons Attribution 4.0Faculty/School
Faculty of Medicine and Health, School of Health SciencesDepartment, Discipline or Centre
Image X InstituteShare