Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Classifying Papanicolaou cervical smears through a cell merger approach by ..."

José Martínez-Más et al. (2020)

> Home

Details and statistics

DOI: 10.1016/J.ESWA.2020.113707

access: closed

type: Journal Article

metadata version: 2022-01-03

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/eswa/Martinez-MasBMR20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/eswa/Martinez-MasBMR20
José Martínez-Más, Andrés Bueno-Crespo, Raquel Martínez-España, Manuel Remezal-Solano, Ana Ortiz-González, Sebastián Ortiz-Reina, Juan-Pedro Martínez-Cendán:
Classifying Papanicolaou cervical smears through a cell merger approach by deep learning technique. Expert Syst. Appl. 160: 113707 (2020)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.