MahmoodLab/TITAN is a vision transformer model trained with self-supervised learning specifically for computational pathology. It excels at extracting rich features from histology and tissue images for downstream tasks such as classification, segmentation, and biomarker discovery. The model is available on Hugging Face for research use.
In the Other AI space, TITAN takes a focused approach. It focuses on extracting meaningful representations from pathology and histology images without extensive labeled data. It is built as an open-source project for medical researchers. TITAN is open source under the Open Source license. It runs on the web and API.
Behind TITAN is Mahmood Lab, and it first shipped in 2024. The project is developed in the open on GitHub with 356 stars. Key capabilities include self-supervised learning, histology analysis, and feature extraction.
Summary written by a language model from the project’s public pages.
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