Build a Pneumonia Classification Application
This reference implementation showcases a healthcare application by classifying the probability of pneumonia in X-ray images.
|Target Operating System||Ubuntu* 16.04 LTS|
|Time to Complete||30 minutes|
|Software Used||Intel® Distribution of OpenVINO™ Toolkit|
|Model Used||Custom Pretrained Model|
The application uses the inference engine in the Intel Distribution of OpenVINO toolkit. An X-ray image is an input source. A pretrained neural network using an open source dataset detects the probability of pneumonia in preprocessed X-ray images. The inference results are then stored in an output file.
Gain insight into the following solutions:
- Creating computer vision software applications for healthcare
- Using computer vision inference for medical image processing
Learn to build and run an application with these capabilities:
Perform an X-ray image classification.
Recognize pneumonia using the pretrained model and predict probability of infection.
Store the probability value in an output file.