Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation

Tanvi Deshpande; Eva Prakash; Elsie Gyang Ross; Curtis Langlotz; Andrew Y. Ng; Jeya Maria Jose Valanarasu

2024 MIDL MIDL 2024

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Computer Vision and Healthcare & Medicine

Authors

Tanvi Deshpande, Eva Prakash, Elsie Gyang Ross, Curtis Langlotz, Andrew Y. Ng, Jeya Maria Jose Valanarasu

Topics

Machine Learning > Learning Types > Weakly Supervised Learning Computer Vision > Analysis > Semantic Segmentation Healthcare & Medicine > Clinical > Medical Imaging

Keywords

medical image segmentation segment anything model weak label label-scarce datasets medsam ultrasound

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