Enhancing meningioma tumor classification accuracy through multi-task learning approach and image analysis of MRI images.
Journal:
PloS one
Published Date:
Aug 11, 2025
Abstract
BACKGROUND: Accurate classification of meningioma brain tumors is crucial for determining the appropriate treatment plan and improving patient outcomes. However, this task is challenging due to the slow-growing nature of these tumors and the potential for misdiagnosis. Additionally, deep learning models for tumor classification often require large amounts of labeled data, which can be costly and time-consuming to obtain, especially in the medical domain.
