Pneumonia Detection using Deep Learning
## Problem Statement
Build a binary classifier to detect
pneumonia using chest x-rays
### Pneumonia
Pneumonia is an infection that inflames the
air sacs in one or both lungs. The air sacs may fill with fluid or pus
(purulent material), causing cough with phlegm or pus, fever, chills, and
difficulty breathing. A variety of organisms, including bacteria, viruses and
fungi, can cause pneumonia. Chest X-ray,
blood tests, and culture of the sputum may help confirm the diagnosis. The
disease may be classified by where it was acquired, such as community- or
hospital-acquired or healthcare-associated pneumonia.
## Dataset description
>
The dataset is organized into 3 folders (train, test, val) and contains
subfolders for each image category (Pneumonia/Normal). There are 5,863 X-Ray
images (JPEG) and 2 categories (Pneumonia/Normal).
Chest
X-ray images (anterior-posterior) were selected from retrospective cohorts of
pediatric patients of one to five years old from Guangzhou Women and
Children’s Medical Center, Guangzhou. All chest X-ray imaging was performed
as part of patients’ routine clinical care. For the analysis of chest x-ray
images, all chest radiographs were initially screened for quality control by
removing all low quality or unreadable scans. The diagnoses for the images were
then graded by two expert physicians before being cleared for training the AI
system. In order to account for any grading errors, the evaluation set was also
checked by a third expert.
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