Real-world applications of deep convolutional neural networks in diagnostic cancer imaging

Hesham Elhalawani; Pei Yang; Mohamed Abazeed; Chirag Shah; Abdallah S.R. Mohamed; Charles R. Thomas; Clifton D. Fuller; Reid F. Thompson

doi:10.21037/CCO.2020.01.02

Real-world applications of deep convolutional neural networks in diagnostic cancer imaging

Hesham Elhalawani, Pei Yang, Mohamed Abazeed, Chirag Shah, Abdallah S.R. Mohamed, Charles R. Thomas, Clifton D. Fuller, Reid F. Thompson

Research output: Contribution to journal › Comment/debate › peer-review

Original language	English (US)
Article number	82
Journal	Chinese Clinical Oncology
Volume	9
Issue number	6
DOIs	https://doi.org/10.21037/CCO.2020.01.02
State	Published - Dec 2020

ASJC Scopus subject areas

General Medicine

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10.21037/CCO.2020.01.02

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@article{23d6870cbc114140b47696842cadcaf9,

title = "Real-world applications of deep convolutional neural networks in diagnostic cancer imaging",

author = "Hesham Elhalawani and Pei Yang and Mohamed Abazeed and Chirag Shah and Mohamed, {Abdallah S.R.} and Thomas, {Charles R.} and Fuller, {Clifton D.} and Thompson, {Reid F.}",

note = "Funding Information: Funding: Dr. Clifton D. Fuller received US federal funding and salary support unrelated to this project from the National Institutes of Health (NIH), including: the National Institute for Dental and Craniofacial Research Establishing Outcome Measures Award (1R01DE025248/ R56DE025248) and an Academic Industrial Partnership Grant (R01DE028290); NCI Early Phase Clinical Trials in Imaging and Image-Guided Interventions Program (1R01CA218148); an NIH/NCI Cancer Center Support Grant (CCSG) Pilot Research Program Award from the UT MD Anderson CCSG Radiation Oncology and Cancer Imaging Program (P30CA016672) and an NIH/NCI Head and Neck Specialized Programs of Research Excellence (SPORE) Developmental Research Program Award (P50 CA097007). Dr. Fuller received funding and salary support unrelated to this project from: National Science Foundation (NSF), Division of Mathematical Sciences, Joint NIH/ NSF Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD) Grant (NSF 1557679); NSF Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) standard grant (NSF 1933369) a National Institute of Biomedical Imaging and Bioengineering (NIBIB) Research Education Programs for Residents and Clinical Fellows Grant (R25EB025787-01); the NIH Big Data to Knowledge (BD2K) Program of the National Cancer Institute (NCI) Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science Award (1R01CA214825). Direct infrastructure support for Dr. Fuller is provided by the multidisciplinary Stiefel Oropharyngeal Research Fund of the University of Texas MD Anderson Cancer Center Charles and Daneen Stiefel Center for Head and Neck Cancer and the Cancer Center Support Grant (P30CA016672) and the MD Anderson Program in Image-guided Cancer Therapy. Dr. Fuller has received direct industry grant support, honoraria, and travel funding from Elekta AB. Dr. Reid F. Thompson was supported by the U.S. Department of Veterans Affairs under award number 1IK2CX002049-01.",

year = "2020",

month = dec,

doi = "10.21037/CCO.2020.01.02",

language = "English (US)",

volume = "9",

journal = "Chinese Clinical Oncology",

issn = "2304-3865",

publisher = "Society for Translational Medicine (STM)",

number = "6",

}

TY - JOUR

T1 - Real-world applications of deep convolutional neural networks in diagnostic cancer imaging

AU - Elhalawani, Hesham

AU - Yang, Pei

AU - Abazeed, Mohamed

AU - Shah, Chirag

AU - Mohamed, Abdallah S.R.

AU - Thomas, Charles R.

AU - Fuller, Clifton D.

AU - Thompson, Reid F.

N1 - Funding Information: Funding: Dr. Clifton D. Fuller received US federal funding and salary support unrelated to this project from the National Institutes of Health (NIH), including: the National Institute for Dental and Craniofacial Research Establishing Outcome Measures Award (1R01DE025248/ R56DE025248) and an Academic Industrial Partnership Grant (R01DE028290); NCI Early Phase Clinical Trials in Imaging and Image-Guided Interventions Program (1R01CA218148); an NIH/NCI Cancer Center Support Grant (CCSG) Pilot Research Program Award from the UT MD Anderson CCSG Radiation Oncology and Cancer Imaging Program (P30CA016672) and an NIH/NCI Head and Neck Specialized Programs of Research Excellence (SPORE) Developmental Research Program Award (P50 CA097007). Dr. Fuller received funding and salary support unrelated to this project from: National Science Foundation (NSF), Division of Mathematical Sciences, Joint NIH/ NSF Initiative on Quantitative Approaches to Biomedical Big Data (QuBBD) Grant (NSF 1557679); NSF Division of Civil, Mechanical, and Manufacturing Innovation (CMMI) standard grant (NSF 1933369) a National Institute of Biomedical Imaging and Bioengineering (NIBIB) Research Education Programs for Residents and Clinical Fellows Grant (R25EB025787-01); the NIH Big Data to Knowledge (BD2K) Program of the National Cancer Institute (NCI) Early Stage Development of Technologies in Biomedical Computing, Informatics, and Big Data Science Award (1R01CA214825). Direct infrastructure support for Dr. Fuller is provided by the multidisciplinary Stiefel Oropharyngeal Research Fund of the University of Texas MD Anderson Cancer Center Charles and Daneen Stiefel Center for Head and Neck Cancer and the Cancer Center Support Grant (P30CA016672) and the MD Anderson Program in Image-guided Cancer Therapy. Dr. Fuller has received direct industry grant support, honoraria, and travel funding from Elekta AB. Dr. Reid F. Thompson was supported by the U.S. Department of Veterans Affairs under award number 1IK2CX002049-01.

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M3 - Comment/debate

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JO - Chinese Clinical Oncology

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Real-world applications of deep convolutional neural networks in diagnostic cancer imaging

ASJC Scopus subject areas

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