تقرير
Online Multi-spectral Neuron Tracing
| العنوان: | Online Multi-spectral Neuron Tracing |
|---|---|
| المؤلفون: | Duan, Bin, Shang, Yuzhang, Cai, Dawen, Yan, Yan |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science Quantitative Biology |
| مصطلحات موضوعية: | Quantitative Biology - Neurons and Cognition, Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning |
| الوصف: | In this paper, we propose an online multi-spectral neuron tracing method with uniquely designed modules, where no offline training are required. Our method is trained online to update our enhanced discriminative correlation filter to conglutinate the tracing process. This distinctive offline-training-free schema differentiates us from other training-dependent tracing approaches like deep learning methods since no annotation is needed for our method. Besides, compared to other tracing methods requiring complicated set-up such as for clustering and graph multi-cut, our approach is much easier to be applied to new images. In fact, it only needs a starting bounding box of the tracing neuron, significantly reducing users' configuration effort. Our extensive experiments show that our training-free and easy-configured methodology allows fast and accurate neuron reconstructions in multi-spectral images. |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2403.06251 |
| رقم الأكسشن: | edsarx.2403.06251 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |