Rapid development in the field of medical imaging are radically changing medicine. Determining the existence or severity of the disease will affect a patient’s clinical care or outcome status in research. During radiotherapy planning, accurate segmentation of medical images is a main step in contouring. We performed the following segmentation tasks in this regard:
- Lung Segmentation
One of the significant steps in automatic chest X-ray images assessment is to correctly identify the limits of the lung. We put an effort to extract the lung boundary and introduces lung segmentation using rule-based methods such as adaptive thresholding in Chest X-rays.
- Brain Tumor Segmentation
For tumor segmentation in brain, we devised different rule-based approaches in image processing including adaptive thresholding and K-Means clustering. The thresholding was performed on Magnetic Resonance Imaging (MRI) scans.
Posted on: May 12, 2020