External Links

Cite Key

Statistics

  • References: 0
  • Cited by: 0
  • Reviews: 0
  • Bibliographies: 0

PDF

Researchr

Researchr is a web site for finding, collecting, sharing, and reviewing scientific publications, for researchers by researchers.

Sign up for an account to create a profile with publication list, tag and review your related work, and share bibliographies with your co-authors.

Improving Nuclei Classification Performance in H&E Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network

Ali Hamad, Ilker Ersoy, Filiz Bunyak. Improving Nuclei Classification Performance in H&E Stained Tissue Images Using Fully Convolutional Regression Network and Convolutional Neural Network. In 47th IEEE Applied Imagery Pattern Recognition Workshop, AIPR 2018, Washington, DC, USA, October 9-11, 2018. pages 1-6, IEEE, 2018. [doi]

Authors

Ali Hamad

This author has not been identified. Look up 'Ali Hamad' in Google

Ilker Ersoy

This author has not been identified. Look up 'Ilker Ersoy' in Google

Filiz Bunyak

This author has not been identified. Look up 'Filiz Bunyak' in Google
runs on