Evidence map›Paper›PMID 41128839›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

Dmcie: Diffusion model with concatenation of inputs and errors for enhanced brain tumor segmentation in MRI images.

Sara Yavari, Rahul Nitin Pandya, Jacob Furst

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Article in International journal of computer assisted radiology and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Sara YavariSchool of Computing, DePaul University, Chicago, USA.
Rahul Nitin PandyaSchool of Computing, DePaul University, Chicago, USA. rpandya2@depaul.edu.
Jacob FurstSchool of Computing, DePaul University, Chicago, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study proposes DMCIE (diffusion model with concatenation of inputs and errors) to enhance binary brain tumor segmentation from multimodal MRI scans. Accurate voxel-wise tumor localization remains challenging due to variability in tumor size, shape, and imaging conditions, impacting clinical diagnosis and treatment planning.

methodsDMCIE employs a two-stage framework: a 3D U-Net first predicts an initial tumor mask from multimodal MRI inputs (T1, T1ce, T2, FLAIR), and an error map highlighting discrepancies with the ground truth is generated. This error map, concatenated with the original inputs, is refined through a diffusion model that iteratively corrects misclassified and boundary regions.

resultsThe proposed DMCIE method was evaluated on the BraTS2020 dataset. Compared to the initial U-Net segmentation, DMCIE improved segmentation performance by +5.18% Dice and

conclusionDMCIE introduces an effective error-guided correction mechanism for binary brain tumor segmentation, using multimodal MRI data to enhance segmentation accuracy. By modeling and correcting segmentation errors during diffusion, DMCIE achieves anatomically precise and well-localized tumor segmentation.

Indexed as

Brain NeoplasmsImage Interpretation, Computer-AssistedMagnetic Resonance ImagingHumansMultimodal Imaging3D U-NetBrain tumor segmentationDiffusion modelError reconstruction

Identifiers

PMID41128839

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.