2 citations · 2 across the 4 of their papers we have counts for
Showing cs.CVShow all
3 papers · 1 filter
cs.CV2023
Microscopy Image Segmentation via Point and Shape Regularized Data Synthesis
Shijie Li, Mengwei Ren, Thomas Ach +1
Current deep learning-based approaches for the segmentation of microscopy images heavily rely on large amount of training data with dense annotation, which is highly costly and lab…
cs.CV2022★ 2 cited
Improved Counting and Localization from Density Maps for Object Detection in 2D and 3D Microscopy Imaging
Shijie Li, Thomas Ach, Guido Gerig
Object counting and localization are key steps for quantitative analysis in large-scale microscopy applications. This procedure becomes challenging when target objects are overlapp…
cs.CV2021
Point-supervised Segmentation of Microscopy Images and Volumes via Objectness Regularization
Shijie Li, Neel Dey, Katharina Bermond +4
Annotation is a major hurdle in the semantic segmentation of microscopy images and volumes due to its prerequisite expertise and effort. This work enables the training of semantic…