ASWNet

ASW-Net: A Deep Learning-based Tool for Cell Nuclei Segmentation of Fluorescence Microscopy

Overview

ASW-Net is a deep learning-based tool for cell nucleus segmentation of fluorescence microscopy. As a simplified W-net, ASW-Net has the potential to extract more features from raw images compared with U-net, and it is lighter than W-net at the same time. The attention mechanism also endows the model with better learning ability and interpretability.

The detailed structure of ASW-Net is shown as below:

Quick Start

Requirements

• Python 3.6+
• Keras == 2.2.4, Tensoflow == 1.14.0

Download SWNet

git clone https://github.com/Liuzhe30/ASW-Net

Progress

• README for running ASW-Net.

Citation

Please cite the following paper for using this code:

Pan, W.; Liu, Z.; Song, W.; Zhen, X.; Yuan, K.; Xu, F.; Lin, G.N. An Integrative Segmentation Framework for Cell Nucleus of Fluorescence Microscopy. Genes 2022, 13, 431. https://doi.org/10.3390/genes13030431