Search Results for author:
Found 3 papers, 0 papers with code
Unsupervised high-throughput segmentation of cells and cell nuclei in quantitative phase images
In the effort to aid cytologic diagnostics by establishing automatic single cell screening using high throughput digital holographic microscopy for clinical studies thousands of images and millions of cells are captured.
Towards Interpretable Classification of Leukocytes based on Deep Learning
Label-free approaches are attractive in cytological imaging due to their flexibility and cost efficiency.
Outlier Detection using Self-Organizing Maps for Automated Blood Cell Analysis
As a direction for future research, we suggest a combination of Self-Organizing Maps and feature extraction based on deep learning.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
