Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN).

Journal: Diagnostic pathology
Published Date: Apr 19, 2022

Abstract

BACKGROUND: Nuclei classification, segmentation, and detection from pathological images are challenging tasks due to cellular heterogeneity in the Whole Slide Images (WSI).

Authors

  • Zahangir Alom
    Department of Pathology, St. Jude Children's Research Hospital, Memphis, TN, USA. alomm1@udayton.edu.
  • Vijayan K Asari
    Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA.
  • Anil Parwani
    Department of Pathology.
  • Tarek M Taha
    Department of Electrical and Computer Engineering, University of Dayton, Dayton, OH, USA.

Keywords

External Resources

Popular Topics
Recent Journals