most citedOptimizing Federated Learning for Medical Image Classification on Distributed Non-iid Datasets with Partial Labels

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cs.CV2024

Anytime, Anywhere, Anyone: Investigating the Feasibility of Segment Anything Model for Crowd-Sourcing Medical Image Annotations

Pranav Kulkarni, Adway Kanhere, Dharmam Savani +4

Curating annotations for medical image segmentation is a labor-intensive and time-consuming task that requires domain expertise, resulting in "narrowly" focused deep learning (DL)…