chenchuw/CNN-SVM-HybridModel

Boston University SPRG2022 EC503 - Learning from Data - Final Project

36
/ 100
Emerging

This project helps biological researchers and lab technicians quickly and accurately identify different cell types from microscopic images. It takes raw cell images as input and outputs a classification of the cell's identity, offering a faster and more cost-effective alternative to traditional sequencing methods. This tool is for anyone needing to analyze cell populations based on visual characteristics.

No commits in the last 6 months.

Use this if you need to classify cell identities from microscopy images with higher accuracy than basic image analysis methods, saving time and resources compared to sequencing.

Not ideal if you require cell identification based on genetic information or if your primary data source is not image-based.

cell-biology microscopy cell-identification laboratory-automation biological-imaging
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

10

Forks

5

Language

MATLAB

License

Apache-2.0

Last pushed

Jul 05, 2022

Commits (30d)

0

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