Summary of Fisbe: a Real-world Benchmark Dataset For Instance Segmentation Of Long-range Thin Filamentous Structures, by Lisa Mais et al.
FISBe: A real-world benchmark dataset for instance segmentation of long-range thin filamentous structures
by Lisa Mais, Peter Hirsch, Claire Managan, Ramya Kandarpa, Josef Lorenz Rumberger, Annika Reinke, Lena Maier-Hein, Gudrun Ihrke, Dagmar Kainmueller
First submitted to arxiv on: 29 Mar 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper proposes a novel approach to instance segmentation of neurons in volumetric light microscopy images of nervous systems. The method enables researchers to analyze neural circuits at cellular resolution by jointly examining functional and morphological aspects. However, the task is challenging due to the complex morphology of individual neurons, inter-weaving with other neurons, and noise inherent to light microscopy. To address this challenge, the authors release a new dataset, FISBe, which contains multi-neuron light microscopy images with pixel-wise annotations. Additionally, they provide three baselines for instance segmentation, aiming to advance machine learning methodology in capturing long-range data dependencies and facilitate scientific discovery in basic neuroscience. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper helps scientists study how our brains work by improving a way to identify and separate individual neurons in microscope pictures. The current method is hard because the neurons are thin and branchy, and they’re close together and noisy. To make it easier, researchers need a better way to analyze these images. This paper provides a new dataset with labeled images and three starting points for other researchers to build on. |
Keywords
» Artificial intelligence » Instance segmentation » Machine learning
