What Are the Challenges in Signal Processing for Cancer Applications?
Despite the significant advancements, several challenges remain. One major issue is the variability in medical imaging data, which can be influenced by factors such as imaging equipment, patient movement, and biological differences. Developing robust algorithms that can handle this variability is a key area of research. Additionally, the integration of multi-modal data (e.g., combining imaging data with genomic data) presents both opportunities and challenges that researchers are actively working to address.
