2 papers
cs.CV2019
On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Retinography
Tim Laibacher, André Anjos
We identify and address three research gaps in the field of vessel segmentation for funduscopy. The first focuses on the task of inference on high-resolution fundus images for whic…
cs.CV2018
M2U-Net: Effective and Efficient Retinal Vessel Segmentation for Resource-Constrained Environments
Tim Laibacher, Tillman Weyde, Sepehr Jalali
In this paper, we present a novel neural network architecture for retinal vessel segmentation that improves over the state of the art on two benchmark datasets, is the first to run…