Adaptable Segmentation Pipeline for Diverse Brain Tumors with Radiomic-guided Subtyping and Lesion-Wise Model Ensemble

This article describes a research paper focused on improving brain tumor segmentation using a combination of radiomics and ensemble methods. The approach aims to create a more robust and accurate segmentation pipeline by incorporating information from radiomic features and combining multiple models. The use of 'adaptable' suggests the pipeline is designed to handle the variability in different types of brain tumors. The title clearly indicates the core methodologies employed.

• •Focus on brain tumor segmentation.
• •Utilizes radiomics and ensemble methods.
• •Aims for a more robust and accurate segmentation pipeline.
• •Designed to handle the variability of different brain tumor types.