New fully automatic approach for tissue identification in histopathological examinations using transfer learning-Reference-Cited by-同舟云学术

New fully automatic approach for tissue identification in histopathological examinations using transfer learning

Published:2022-03-09 Issue:11 Volume:16 Page:2875-2889
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET Image Processing

Author:

Xu Yongzhao¹,dos Santos Matheus A.²³^ORCID,F. Souza Luís Fabrício⁴³^ORCID,Marques Adriell G.²³^ORCID,Zhang Lijuan⁵^ORCID,da Costa Nascimento José Jerovane³^ORCID,de Albuquerque Victor Hugo C.⁴^ORCID,Rebouças Filho Pedro P.²³^ORCID

Affiliation:

1. Department of Physics and Optoelectronic Engineering Dongguan University of Technology Dongguan China

2. Federal Institute of Education Science and Technology of Ceará Ceará Brazil

3. Laboratory for Processing Images, Signals and Computer Science ‐ LAPISCO Ceará Brazil

4. Federal University of Ceará Ceará Brazil

5. DGUT‐CNAM Institute Dongguan University of Technology Dongguan China

Funder

Science and Technology Planning Project of Guangdong Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12449

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