arxiv
PublishedJuly 22, 2026 at 4:00 AM
Tumor-anchored deep feature random forests for out-of-distribution detection in lung cancer segmentation
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arXiv:2512.08216v4 Announce Type: replace-cross Abstract: Accurate segmentation of lung tumors from 3D computed tomography (CT) scans is essential for automated treatment planning and response assessment. Despite self-supervised pretraining on numerous datasets, state-of-the-art transformer backbone
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Originally published on arxiv ↗