Creating data pipeline and training pipeline for left ventricular blood pool (myocardium) semantic segmentation from DICOM MRI images left.
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Updated
Aug 3, 2018 - Jupyter Notebook
Creating data pipeline and training pipeline for left ventricular blood pool (myocardium) semantic segmentation from DICOM MRI images left.
Detecting multiple disease
The project includes tasks such as feature selection, feature engineering, outlier detection, and data transformation, accompanied by visualizations to aid in understanding the data.
The primary focus of this project is to explore the relationship between five selected variables and the severity of heart disease.
A simple JavaScript + CSS animation that generates floating hearts when you move your mouse across the screen. Perfect for learning DOM manipulation, CSS animations, and adding fun effects to your website.
Make Heart using Python Turtle
The nRF Toolbox is a container app that stores your Nordic Semiconductor apps for Bluetooth Low Energy in one location.
led-heart | Project EE1
Building heart disease & diabetes detection models using Random Forest, Logistic Regression, SVM, XGBoost, and KNN
heart disease prediction using machine learning.
👨🏻⚕️ The Cardiovascular Unified Real-Time Intelligent System
A 3D animating terminal ASCII heart. Learned from Calculus I
A heart disease prediction using deep learning
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