# Pneumonia Diagnosis Refinement using Enhanced Lung Segmentation

* Developed an image processing pipeline for lung segmentation in chest X-rays, aiding in the detection of lung diseases like Pneumonia.

* Crop labels, cluster for edge detection and lung segmentation, refine with contour detection, then save as binary images Noticeably, accuracy rose by 9%, from 72% to 81%, showcasing significant improvement

* Skills Developed: Python, Image Processing, Machine Learning Pneumonia Diagnosis Refinement using Enhanced Lung Segmentation

DataSet

[Chest X-Ray Images (Pneumonia)](https://www.kaggle.com/datasets/paultimothymooney/chest-xray-pneumonia)

Output

![image](https://github.com/sd535682/Lungs_Segmentation/assets/61840607/df50d146-1978-4f33-b541-3630cf3b3437)

Without Segmentation

![080a2227-5989-42e3-938d-4c134482db28](https://github.com/sd535682/Lungs_Segmentation/assets/61840607/876f58df-6bec-47e6-89fe-9f60a553e383)

With Segmentation

![0b79c39a-0a4a-4bff-9631-8d19493a43f2](https://github.com/sd535682/Lungs_Segmentation/assets/61840607/e511dab2-ae1f-47ab-8e3d-7613195aa092)