PP146 Breast cancer classification: Leveraging statistical parameters from magnetic resonance imaging images with the gradient boosting algorithm
Rifaldy Fajar, Xexe Yin, Helena Moa · ESMO Open · 2023
Breast cancer is a significant health concern affecting women worldwide. Accurate classification of breast cancer stages is crucial for appropriate treatment planning and patient management. Existing classification methods have limitations, highlighting the need for improved models with higher accuracy and robustness.