It’s insane how you can detect pneumonia in images using deep learning models, saving an individual’s life. According to the World Health Organization, pneumonia kills around 2 million children under the age of 5 years and is repeatedly estimated as the single leading cause of child mortality. This means that pneumonia kills more children than HIV, malaria, and measles combined.

Additionally, the World Health Organization states that 95 % of childhood pneumonia occurs in developing countries, more specifically in the regions of Southeast Asia and Africa. What causes pneumonia? Bacterial and viral pathogens are the leading causes.

Bacterial and viral pneumonia are treated in different manners. In terms of bacterial pneumonia, urgent care is necessary along with antibiotic treatment, in contrast to viral pneumonia which is treated through supportive care.

Thus, accurate and prompt diagnosis of pneumonia is important, and by building a CNN, we are able to analyze chest x-rays to detect pneumonia.

#machine-learning #deep-learning #tensorflow #artificial-intelligence #developer

Detecting Pneumonia using CNNs in TensorFlow
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