Summary of Pathalign: a Vision-language Model For Whole Slide Images in Histopathology, by Faruk Ahmed et al.
PathAlign: A vision-language model for whole slide images in histopathology
by Faruk Ahmed, Andrew Sellergren, Lin Yang, Shawn Xu, Boris Babenko, Abbi Ward, Niels Olson, Arash Mohtashamian, Yossi Matias, Greg S. Corrado, Quang Duong, Dale R. Webster, Shravya Shetty, Daniel Golden, Yun Liu, David F. Steiner, Ellery Wulczyn
First submitted to arxiv on: 27 Jun 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computation and Language (cs.CL); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel vision-language model based on the BLIP-2 framework is developed to analyze microscopic histopathology images and corresponding pathology reports. The approach leverages whole slide images (WSIs) paired with curated text from pathology reports, enabling shared image-text embedding spaces for tasks like text or image retrieval, and WSI-based generative text capabilities such as report generation. A de-identified dataset of over 350,000 WSIs and diagnostic text pairs is used to train the model. Pathologist evaluation reveals accurate text generation and retrieval using WSI embeddings, with 78% of generated texts rated as accurate by pathologists. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A new way to analyze tiny images from medical slides is developed. These images are important for doctors to make diagnoses and treatment plans. The method uses both the images and the written reports from doctors to create a shared language for computers to understand. This allows for tasks like finding specific cases or generating doctor’s reports, which can be used in “AI-in-the-loop” interactions with human doctors. A large dataset of over 350,000 slides is used to train the model. |
Keywords
* Artificial intelligence * Language model * Text generation
