Automatic segmentation of medical images is an important step to extract useful information that can help doctors make a diagnosis. Lung segmentation constitutes a critical procedure for any clinical-decision supporting system aimed to improve the early diagnosis and treatment of lung diseases.
Available here or here.
This dataset was be modified from Lung segmentation dataset by Kónya et al., 2020 , https://www.kaggle.com/sandorkonya/ct-lung-heart-trachea-segmentation
The code with dataset creation available here - dataset_creation.ipynb
More information about dataset can be read here.
Each pixel must be labeled “1” if it is part of one of the classes (lungs, heart, trachea), and “0” if not.
The code with the solution is available here - ct_chest_seg.ipynb
Video with several examples.