"WS-SAM: Segment Anything with Sparse Prompts for Weakly-Supervised Medical ..."

Tal Shaharabany, Lior Wolf (2025)

> Home

Details and statistics

DOI: 10.1109/SIPAIM67325.2025.11283292

access: closed

type: Conference or Workshop Paper

metadata version: 2026-02-04

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/sipaim/ShaharabanyW25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sipaim/ShaharabanyW25
Tal Shaharabany, Lior Wolf:
WS-SAM: Segment Anything with Sparse Prompts for Weakly-Supervised Medical Segmentation. SIPAIM 2025: 1-5

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.