Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training ..."

Nikhil Cherian Kurian et al. (2022)

> Home

Details and statistics

DOI: 10.1109/BIBE55377.2022.00027

access: closed

type: Conference or Workshop Paper

metadata version: 2023-06-26

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/bibe/KurianLVDMLLGRG22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/bibe/KurianLVDMLLGRG22
Nikhil Cherian Kurian, Amit Lehan, Gregory Verghese, Nimish Dharamshi, Swati Meena, Mengyuan Li, Fangfang Liu, Cheryl Gillet, Swapnil Rane, Anita Grigoriadis, Amit Sethi:
Deep Multi-Scale U-Net Architecture and Label-Noise Robust Training Strategies for Histopathological Image Segmentation. BIBE 2022: 91-96

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.