xmindflow/MMCFormer
[MIDL 2023] MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation
This project helps medical professionals, specifically neuroradiologists and oncologists, analyze brain MRI scans for tumor segmentation when some imaging sequences (modalities) are unavailable. It takes existing brain MRI data, even with missing sequences, and produces a precise segmentation of brain tumors, aiding in diagnosis and treatment planning.
No commits in the last 6 months.
Use this if you need to accurately segment brain tumors from MRI scans, especially when faced with incomplete imaging data due to protocol variations or patient limitations.
Not ideal if you are looking for a general-purpose medical image segmentation tool beyond brain tumor analysis or if all your MRI modalities are always complete.
Stars
20
Forks
3
Language
Python
License
MIT
Last pushed
Jul 10, 2023
Commits (30d)
0
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