4 papers
Semi-supervised Instance Segmentation with a Learned Shape Prior
Long Chen, Weiwen Zhang, Yuli Wu +2
To date, most instance segmentation approaches are based on supervised learning that requires a considerable amount of annotated object contours as training ground truth. Here, we…
High-throughput Phenotyping of Nematode Cysts
Long Chen, Matthias Daub, Hans-Georg Luigs +3
The beet cyst nematode (BCN) Heterodera schachtii is a plant pest responsible for crop loss on a global scale. Here, we introduce a high-throughput system based on computer vision…
Instance Segmentation of Biomedical Images with an Object-aware Embedding Learned with Local Constraints
Long Chen, Martin Strauch, Dorit Merhof
Automatic instance segmentation is a problem that occurs in many biomedical applications. State-of-the-art approaches either perform semantic segmentation or refine object bounding…
A CNN Framenwork Based on Line Annotations for Detecting Nematodes in Microscopic Images
Long Chen, Martin Strauch, Matthias Daub +6
Plant parasitic nematodes cause damage to crop plants on a global scale. Robust detection on image data is a prerequisite for monitoring such nematodes, as well as for many biologi…