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Found 2 papers, 1 papers with code
Cell Tracking-by-detection using Elliptical Bounding Boxes
This work proposes a new approach based on the classical tracking-by-detection paradigm that alleviates the requirement of annotated data.
Ranked #1 on
Cell Detection
on PhC-C2DH-U373
Evaluating Deep Neural Networks for Image Document Enhancement
The main contributions of this paper are: a baseline of deep learning techniques that can be further improved to provide better results, and a evaluation methodology using IQA metrics for quantitatively comparing the produced images from the neural networks to a ground truth.
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