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Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment

Computer Vision and Pattern Recognition 2026-02-26 v1 Machine Learning
Authors: T. Schaffer , A. Brawanski , S. Wein , A. M. Tomé , E. W. Lang
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Abstract

A U-Net based deep learning architecture is designed to segment brain tumors as they appear on various MRI modalities. Special emphasis is lent to the non-enhancing tumor compartment. The latter has not been considered anymore in recent brain tumor segmentation challenges like the MICCAI challenges. However, it is considered to be indicative of the survival time of the patient as well as of areas of further tumor growth. Hence it deems essential to have means to automatically delineate its extension within the tumor.

Keywords

brain tumor segmentation U-Net non-enhancing tumor MRI survival prediction

Cite

@article{arxiv.2602.21703,
  title  = {Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment},
  author = {T. Schaffer and A. Brawanski and S. Wein and A. M. Tomé and E. W. Lang},
  journal= {arXiv preprint arXiv:2602.21703},
  year   = {2026}
}

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