F3-Net combines multi-encoder nnU-Net with zero-filled missing modalities to segment glioma, metastasis, stroke, and white matter lesions, but the missing-modality claim is untested and comparisons are incomplete.
On the challenges and perspectives of foundation models for medical image analysis,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
REJECT 1roles
background 1polarities
support 1representative citing papers
citing papers explorer
-
F3-Net: Foundation Model for Full Abnormality Segmentation of Medical Images with Flexible Input Modality Requirement
F3-Net combines multi-encoder nnU-Net with zero-filled missing modalities to segment glioma, metastasis, stroke, and white matter lesions, but the missing-modality claim is untested and comparisons are incomplete.