Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"An innovative neural network framework to classify blood vessels and ..."

Vitoantonio Bevilacqua et al. (2017)

> Home

Details and statistics

DOI: 10.1016/J.NEUCOM.2016.09.091

access: closed

type: Journal Article

metadata version: 2021-10-14

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ijon/BevilacquaPTBPR17
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ijon/BevilacquaPTBPR17
Vitoantonio Bevilacqua, Nicola Pietroleonardo, Vito Triggiani, Antonio Brunetti, Annamaria Di Palma, Michele Rossini, Loreto Gesualdo:
An innovative neural network framework to classify blood vessels and tubules based on Haralick features evaluated in histological images of kidney biopsy. Neurocomputing 228: 143-153 (2017)

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.