"Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment ..."

Pranav Kulkarni et al. (2024)

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DOI: 10.48550/ARXIV.2403.15218

access: open

type: Informal or Other Publication

metadata version: 2024-05-29

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  - journals/corr/abs-2403-15218
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  - https://dblp.org/rec/journals/corr/abs-2403-15218
Pranav Kulkarni, Adway U. Kanhere, Dharmam Savani, Andrew Chan, Devina Chatterjee, Paul H. Yi, Vishwa S. Parekh:
Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations. CoRR abs/2403.15218 (2024)

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