Deep Learning Model for Detecting COVID-19 on Chest X-ray
Why X-ray (Radiography)
It usually takes less than 15 minutes for an entire X-ray procedure.
X-ray images are digital, so a doctor can see them on a screen within minutes.
We will use ResNet-50 network in this example as it has proven to be highly effective for various medical imaging applications
About ResNet-50
ResNet-50 is a convolutional neural network that is 50 layers deep.
ResNet, short for Residual Networks is a classic neural network used as a backbone for many computer vision tasks.
This model was the winner of ImageNet challenge in 2015.
You can load a pretrained version of the network trained on more than a million images.
Citar como
Link to download COVID19 Dataset https://github.com/ieee8023/covid-chestxray-dataset Link to download uninfected dataset https://www.kaggle.com/paultimothymooney/chest-xray-pneumonia Inspired by MathWorks Blog: https://blogs.mathworks.com/deep-learning/2020/03/18/deep-learning-for-medical-imaging-covid-19-detection/
Compatibilidad con la versión de MATLAB
Compatibilidad con las plataformas
Windows macOS LinuxEtiquetas
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.