Histological Image Processing Features Induce a Quantitative Characterization of Chronic Tumor Hypoxia

Open Access

Peer-reviewed

Research Article

Andrew Sundstrom ,

* E-mail: andrew.sundstrom@mssm.edu

Affiliations Department of Pharmacology and Systems Therapeutics, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America, Department of Computer Science, Courant Institute of Mathematical Sciences, New York, NY, United States of America

http://orcid.org/0000-0002-3378-4513

⨯
Elda Grabocka,

Affiliation Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY, United States of America
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Dafna Bar-Sagi,

Affiliation Department of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, NY, United States of America
⨯
Bud Mishra

Affiliation Department of Computer Science, Courant Institute of Mathematical Sciences, New York, NY, United States of America
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Cancers and neoplasms
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Hypoxia
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Medical hypoxia
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Histology
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Oxygen
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Imaging techniques
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Blood vessels
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Curve fitting
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