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Temporally consistent longitudinal brain tumor segmentation using a temporal spatial transformer network

Abstract Proper monitoring of tumor progression and evaluation of treatment responses highly depend on longitudinal brain tumor segmentation from MRI data. Current deep learning methodologies have mainly concentrated on analyzing single-time-point images, which restricts the ability to incorporate t...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Sandeep Kumar Mathivanan, Shamala K. Subramaniam, Dafik, Sunder R., Sangeetha S. K. B., Siva Shankar S.
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Portfolio 2026-05-01
Schriftenreihe:Scientific Reports
Schlagworte:
Tumor segmentation
Temporal attention
Longitudinal MRI
Transformer networks
Medical imaging
Deep learning
Online-Zugang:https://doi.org/10.1038/s41598-026-53242-8
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