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Computer vision has shown promising results in medical image processing.Pneumothorax is a deadly condition and if not diagnosed and treated at timethen it causes death. It can be diagnosed with chest X-ray images. We need anexpert and experienced radiologist to predict whether a person is sufferingfrom pneumothorax or not by looking at the chest X-ray images. Everyone doesnot have access to such a facility. Moreover, in some cases, we need quickdiagnoses. So we propose an image segmentation model to predict and give theoutput a mask that will assist the doctor in taking this crucial decision. DeepLearning has proved their worth in many areas and outperformed manstate-of-the-art models. We want to use the power of these deep learning modelto solve this problem. We have used U-net [13] architecture with ResNet [17] asa backbone and achieved promising results. U-net [13] performs very well inmedical image processing and semantic segmentation. Our problem falls in thesemantic segmentation category.

Pneumothorax Segmentation: Deep Learning Image Segmentation to predict Pneumothorax