"Deep learning based approach for fully automated detection and ..."

Fatemeh Zabihollahy, Aidan Lochbihler, Eranga Ukwatta (2019)

> Home

Details and statistics

DOI: 10.1117/12.2513034

access: closed

type: Conference or Workshop Paper

metadata version: 2020-03-19

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/mibam/ZabihollahyLU19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/mibam/ZabihollahyLU19
Fatemeh Zabihollahy, Aidan Lochbihler, Eranga Ukwatta:
Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2019: 1095308

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.