"Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing ..."

Nikos Tsiknakis et al. (2024)

> Home

Details and statistics

DOI: 10.1109/JBHI.2024.3413533

access: open

type: Journal Article

metadata version: 2024-12-09

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/titb/TsiknakisMTSVWZSZBHAMF24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/titb/TsiknakisMTSVWZSZBHAMF24
Nikos Tsiknakis, Georgios C. Manikis, Evangelos Tzoras, Dimitrios Salgkamis, Joan Martinez Vidal, Kang Wang, Dimitris Zaridis, Emmanouil G. Sifakis, Ioannis Zerdes, Jonas Bergh, Johan Hartman, Balazs Acs, Kostas Marias, Theodoros Foukakis:
Unveiling the Power of Model-Agnostic Multiscale Analysis for Enhancing Artificial Intelligence Models in Breast Cancer Histopathology Images. IEEE J. Biomed. Health Informatics 28(9): 5312-5322 (2024)

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.