Novel radiomic features versus deep learning: differentiating brain metastases from pathological lung cancer types in small datasets.
Journal:
The British journal of radiology
PMID:
37129296
Abstract
OBJECTIVE: Accurate diagnosis and early treatment are crucial for survival in patients with brain metastases. This study aims to expand the capability of radiomics-based classification algorithms with novel features and compare results with deep learning-based algorithms to differentiate the subtypes of lung cancer from MRI of metastatic lesions in the brain.