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:
❶ Perform an X-ray image classification.
❷ Recognize pneumonia using the pretrained model and predict probability of infection.
❸ Store the probability value in an output file.
How It Works
❶ An open source dataset of labeled chest X-ray images trains a model for pneumonia classification.
❷ X-ray images are preprocessed for input to the inference engine.
❸ The pretrained model uses the inference engine to detect pneumonia within the image and assign a probability value.
❹ The probability value of pneumonia classification is stored in an output file.