zs1314/MambaMIC
【ICME2025 Oral】Offical Pytorch Code for "MambaMIC: An Efficient Baseline for Microscopic Image Classification with State Space Models"
This tool helps scientists and researchers automatically categorize microscopic images more accurately and efficiently. You input folders of microscopic images, already sorted into different categories, and it outputs a highly precise classification model. This is designed for biologists, pathologists, and other lab professionals working with large volumes of microscopic visual data.
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Use this if you need to quickly and reliably classify various types of microscopic images, such as tissue samples or cell structures, to support diagnosis, research, or quality control.
Not ideal if you are working with non-microscopic images or require real-time, ultra-low-latency classification in a production environment without GPU resources.
Stars
8
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 21, 2025
Commits (30d)
0
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