Search Results for author: Shilpa Ananth

Found 2 papers, 0 papers with code

Extreme Consistency: Overcoming Annotation Scarcity and Domain Shifts

no code implementations15 Apr 2020 Gaurav Fotedar, Nima Tajbakhsh, Shilpa Ananth, Xiaowei Ding

In this paper, we introduce \emph{extreme consistency}, which overcomes the above limitations, by maximally leveraging unlabeled data from the same or a different domain in a teacher-student semi-supervised paradigm.

Retinal Vessel Segmentation

ErrorNet: Learning error representations from limited data to improve vascular segmentation

no code implementations10 Oct 2019 Nima Tajbakhsh, Brian Lai, Shilpa Ananth, Xiaowei Ding

In this paper, we propose a segmentation framework called ErrorNet, which learns to correct these segmentation mistakes through the repeated process of injecting systematic segmentation errors to the segmentation result based on a learned shape prior, followed by attempting to predict the injected error.

Domain Adaptation Retinal Vessel Segmentation +1

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