Výsledky vyhledávání - "Philip M. Adamson"

Comparative evaluation of a prototype deep learning algorithm for autosegmentation of normal tissues in head and neck radiotherapy

Autor: Jihye Koo, Jimmy J. Caudell, Kujtim Latifi, Petr Jordan, Sangyu Shen, Philip M. Adamson, Eduardo G. Moros, Vladimir Feygelman

Publikováno v: Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology. 174

To introduce and validate a newly developed deep-learning (DL) auto-segmentation algorithm for head and neck (HN) organs at risk (OARs) and to compare its performance with a published commercial algorithm.A total of 864 HN cancer cases were available

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54daf10fdb6618610664509bb92da204
https://pubmed.ncbi.nlm.nih.gov/35817322

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Technical Note: Evaluation of a V-Net Autosegmentation algorithm for Pediatric CT Scans: Performance, Generalizability and Application to Patient-Specific CT Dosimetry

Autor: Philip M. Adamson, Vrunda Bhattbhatt, Sara Principi, Surabhi Beriwal, Linda S. Strain, Michael Offe, Adam S. Wang, Nghia‐Jack Vo, Taly Gilat Schmidt, Petr Jordan

Publikováno v: Med Phys

PURPOSE: This study developed and evaluated a Fully Convolutional Network (FCN) for pediatric CT organ segmentation, and investigated the generalizability of the FCN across image heterogeneities such as CT scanner model protocols and patient age. We

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9878e6eb7592d5e6ef0587eab3d4b5c9
https://europepmc.org/articles/PMC9007850/

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Pediatric chest-abdomen-pelvis and abdomen-pelvis CT images with expert organ contours

Autor: Petr Jordan, Philip M. Adamson, Vrunda Bhattbhatt, Surabhi Beriwal, Sangyu Shen, Oskar Radermecker, Supratik Bose, Linda S. Strain, Michael Offe, David Fraley, Sara Principi, Dong Hye Ye, Adam S. Wang, John van Heteren, Nghia‐Jack Vo, Taly Gilat Schmidt

Publikováno v: Med Phys

PURPOSE: Organ autosegmentation efforts to date have largely been focused on adult populations, due to limited availability of pediatric training data. Pediatric patients may present additional challenges for organ segmentation. This paper describes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f8f0fe2fd2d8e888b06a3af89f8ebe4
https://europepmc.org/articles/PMC9090951/

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Evaluation of deep learning segmentation for rapid, patient-specific CT organ dose estimation using an LBTE solver

Autor: Taly Gilat Schmidt, Michael Offe, Adam Wang, David Fraley, Petr Jordan, Philip M. Adamson, Sara Principi

Publikováno v: Medical Imaging 2020: Physics of Medical Imaging.

The overall goal of this work is to develop a rapid, accurate and fully automated software tool to estimate patient-specific organ doses from CT scans using a deterministic Linear Boltzmann Transport Equation (LBTE) solver (Acuros CTD) and deep-learn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b08ccee40781e4aaba1b79eec790b87f
https://doi.org/10.1117/12.2550314

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Single photon detection imaging of Cherenkov light emitted during radiation therapy

Autor: Jacqueline M. Andreozzi, David J. Gladstone, Philip M. Adamson, Ethan P. M. LaRochelle, Brian W. Pogue

Publikováno v: Molecular-Guided Surgery: Molecules, Devices, and Applications IV.

Cherenkov imaging during radiation therapy has been developed as a tool for dosimetry, which could have applications in patient delivery verification or in regular quality audit. The cameras used are intensified imaging sensors, either ICCD or ICMOS

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c734213303ed88120876385a398b5c54
https://doi.org/10.1117/12.2292669

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