Survival Prediction Across Diverse Cancer Types Using Neural Networks

Understand

Gastric cancer and Colon adenocarcinoma represent widespread and challenging malignancies with high mortality rates and complex treatment landscapes.

• In response to the critical need for accurate prognosis in cancer patients, the medical community has embraced the 5-year survival rate as a vital metric for estimating patient outcomes.
• This study introduces a pioneering approach to enhance survival prediction models for gastric and Colon adenocarcinoma patients.
• Leveraging advanced image analysis techniques, we sliced whole slide images (WSI) of these cancers, extracting comprehensive features to capture nuanced tumor characteristics.