arXiv Open Access 2026

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

T. Schaffer A. Brawanski S. Wein A. M. Tomé E. W. Lang

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Abstrak

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.

Topik & Kata Kunci

cs.CV cs.LG

Penulis (5)

T. Schaffer

A. Brawanski

S. Wein

A. M. Tomé

E. W. Lang

Format Sitasi

APA MLA BibTeX

Schaffer, T., Brawanski, A., Wein, S., Tomé, A.M., Lang, E.W. (2026). Brain Tumor Segmentation with Special Emphasis on the Non-Enhancing Brain Tumor Compartment. https://arxiv.org/abs/2602.21703

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Informasi Jurnal

Tahun Terbit: 2026
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓