xmindflow/MS-Former
[MIDL 2023] MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
This tool helps medical image analysts and researchers accurately outline specific areas of interest in medical scans, such as skin lesions or lung structures. You input medical images, and it outputs precise segmentation maps that highlight these regions. This is ideal for medical professionals and researchers who need highly accurate automatic identification of anatomical structures or anomalies.
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Use this if you need to precisely segment and analyze specific features within medical images like skin lesions or lung scans, aiming for state-of-the-art accuracy.
Not ideal if your task involves general image processing outside of medical segmentation or if you require real-time processing on very resource-constrained systems.
Stars
16
Forks
5
Language
Jupyter Notebook
License
MIT
Last pushed
Jul 10, 2023
Commits (30d)
0
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