chenchuw/CNN-SVM-HybridModel
Boston University SPRG2022 EC503 - Learning from Data - Final Project
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.
Stars
10
Forks
5
Language
MATLAB
License
Apache-2.0
Category
Last pushed
Jul 05, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/chenchuw/CNN-SVM-HybridModel"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mitre-atlas/atlas-website
Source and static code for the MITRE ATLAS website
yqiuu/spectuner
A tool for automated spectral line analysis of instellar molecules.
kesslerlib/kessler
A machine learning library for spacecraft collision avoidance
esa/masconCube
Learn asteroids' geodesy from gravitational acceleration
BjornMelin/stardex
🌟 Stardex: Explore GitHub Stars Intelligently. Stardex is a powerful web app that lets you...