Shypd.aiThe largest open index of AI toolsMin_Max_Similarity is an Open Source Image Generation tool that implements a contrastive learning-based semi-supervised segmentation network. It is specifically designed for medical image segmentation, focusing on surgical tools.
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Min_Max_Similarity is an open-source project providing a novel contrastive learning-based semi-supervised segmentation network. This tool is primarily developed for medical image segmentation, with a specific application in segmenting surgical tools from various medical datasets. The repository includes the implementation of the Min-Max Similarity architecture, offering researchers and developers a robust framework for advancing semi-supervised learning in medical imaging. It supports multiple datasets like Kvasir-instrument, EndoVis'17, Cochlear Implant, RoboTool, and ART-NET, and provides clear instructions for environment setup, data preparation, training, and testing. The project emphasizes practical application with visual comparisons of its performance against state-of-the-art models.
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