Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis-Reference-Cited by-同舟云学术

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Automated mesenchymal stem cell segmentation and machine learning-based phenotype classification using morphometric and textural analysis

Published:2021-02-01 Issue:01 Volume:8 Page:
ISSN:2329-4302
Container-title:Journal of Medical Imaging
language:
Short-container-title:J. Med. Imag.

Author:

Mota Sakina M.¹,Rogers Robert E.²,Haskell Andrew W.²,McNeill Eoin P.²,Kaunas Roland¹,Gregory Carl A.²,Giger Maryellen L.³,Maitland Kristen C.¹

Affiliation:

1. Texas A&M University, Department of Biomedical Engineering, College Station, Texas

2. Texas A&M Health Science Center, College of Medicine, Bryan, Texas

3. University of Chicago, Department of Radiology, Committee on Medical Physics, Chicago, Illinois

Publisher

SPIE-Intl Soc Optical Eng

Subject

Radiology, Nuclear Medicine and imaging

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