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March 13, 2026Biomedical Signal Processing and ControlOpen Access

High-resolution fluorescence microscopy dataset for neuron segmentation and morphological analysis

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Authors

BABanan AlnemriKing Abdulaziz UniversityABArwa BasbrainKing Abdulaziz UniversityMBMohammed BasabrainUmm al-Qura University

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Implication

Introduces a novel dataset for neuron segmentation in dental stem cells, highlighting YOLOv8's effectiveness.

Key Points

  • The central aim is to develop a dataset for accurate segmentation and analysis of neurons in fluorescence images.
  • Created a novel dataset with expert annotations for instance segmentation of three neuron classes.
  • Evaluated performance of three deep learning models: Mask R-CNN, YOLOv8, and YOLOv11.
  • Utilized pre-processing and data augmentation techniques for effective training and evaluation.
  • YOLOv8 outperformed Mask R-CNN and YOLOv11 in capturing complex neuronal features.
  • The dataset significantly improves segmentation of overlapping neuron structures.

Cite This Study

Alnemri et al. (2026) studied this question.

synapsesocial.com/papers/69b3ad1302a1e69014ccf68chttps://doi.org/10.1016/j.bspc.2026.110005
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