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Open Access
Peer-reviewed
Research Article
Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
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Chintan Parmar ,
Contributed equally to this work with: Chintan Parmar, Emmanuel Rios Velazquez
* E-mail: Chintan_Parmar@dfci.harvard.edu (CP); Hugo_Aerts@dfci.harvard.edu (HA)
Affiliations Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Radiation Oncology (MAASTRO), Maastricht University, Maastricht, The Netherlands, Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
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Emmanuel Rios Velazquez ,
Contributed equally to this work with: Chintan Parmar, Emmanuel Rios Velazquez
Affiliations Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Radiation Oncology (MAASTRO), Maastricht University, Maastricht, The Netherlands
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Ralph Leijenaar,
Affiliation Department of Radiation Oncology (MAASTRO), Maastricht University, Maastricht, The Netherlands
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Mohammed Jermoumi,
Affiliations Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, University of Massachusetts, Lowell, Massachusetts, United States of America
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Sara Carvalho,
Affiliation Department of Radiation Oncology (MAASTRO), Maastricht University, Maastricht, The Netherlands
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Raymond H. Mak,
Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Sushmita Mitra,
Affiliation Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
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B. Uma Shankar,
Affiliation Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
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Ron Kikinis,
Affiliation Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Benjamin Haibe-Kains,
Affiliations Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada, Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
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Philippe Lambin,
Affiliation Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Hugo J. W. L. Aerts
* E-mail: Chintan_Parmar@dfci.harvard.edu (CP); Hugo_Aerts@dfci.harvard.edu (HA)
Affiliations Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America, Department of Radiation Oncology (MAASTRO), Maastricht University, Maastricht, The Netherlands, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
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Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation
- Chintan Parmar,
- Emmanuel Rios Velazquez,
- Ralph Leijenaar,
- Mohammed Jermoumi,
- Sara Carvalho,
- Raymond H. Mak,
- Sushmita Mitra,
- B. Uma Shankar,
- Ron Kikinis,
- Benjamin Haibe-Kains

- Published: July 15, 2014
- https://doi.org/10.1371/journal.pone.0102107