What Are the Challenges in Image Processing for Cancer?
Despite its advantages, image processing in cancer faces several challenges:
1. Variability in Images: Medical images can vary significantly due to different imaging modalities, patient conditions, and equipment settings. 2. Data Quality: High-quality images are essential for accurate processing, but noise and artifacts can affect the results. 3. Complexity of Cancer: Cancer can manifest in various forms, making it difficult to develop a one-size-fits-all processing technique. 4. Interpretation of Results: The output of image processing needs to be interpreted by skilled professionals to ensure accurate diagnosis and treatment.
