%0 Journal Article %1 journals/corr/abs-2403-15218 %A Kulkarni, Pranav %A Kanhere, Adway U. %A Savani, Dharmam %A Chan, Andrew %A Chatterjee, Devina %A Yi, Paul H. %A Parekh, Vishwa S. %D 2024 %J CoRR %K dblp %T Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations. %U http://dblp.uni-trier.de/db/journals/corr/corr2403.html#abs-2403-15218 %V abs/2403.15218

@article{journals/corr/abs-2403-15218, added-at = {2024-05-29T00:00:00.000+0200}, author = {Kulkarni, Pranav and Kanhere, Adway U. and Savani, Dharmam and Chan, Andrew and Chatterjee, Devina and Yi, Paul H. and Parekh, Vishwa S.}, biburl = {https://www.bibsonomy.org/bibtex/23c10e3322b73e5aa182a53ea2e0006be/dblp}, ee = {https://doi.org/10.48550/arXiv.2403.15218}, interhash = {239309b58f036df0f7c4026a8e778147}, intrahash = {3c10e3322b73e5aa182a53ea2e0006be}, journal = {CoRR}, keywords = {dblp}, timestamp = {2024-06-03T07:09:24.000+0200}, title = {Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations.}, url = {http://dblp.uni-trier.de/db/journals/corr/corr2403.html#abs-2403-15218}, volume = {abs/2403.15218}, year = 2024 }