--- license: mit widget: - src: >- https://www.verywellhealth.com/thmb/yCmWnfp16fvO0C7qB2jUUcUq8XY=/1500x0/filters:no_upscale():max_bytes(150000):strip_icc()/GettyImages-1451577990-07db16e0a41043bc968d5cbf2dbaec83.jpg candidate_labels: dark color, light color, irregular shape example_title: Malignant Melanoma library_name: open_clip pipeline_tag: zero-shot-image-classification --- # Model Card for WhyLesionClip # Table of Contents 1. [Model Details](#model-details) 2. [Get Started](#how-to-get-started-with-the-model) 3. [Uses](#uses) 4. [Training Details](#training-details) 5. [Evaluation](#evaluation) 6. [Citation](#citation) ## Model Details - **Model:** WhyLesionClip - **Paper:** https://arxiv.org/pdf/2405.14839 - **Website:** https://yueyang1996.github.io/knobo/ - **Repository:** https://github.com/YueYANG1996/KnoBo ## How to Get Started with the Model Use the code below to get started with the model. [More Information Needed] ## Uses ### Direct Use [More Information Needed] ### Downstream Use [More Information Needed] ### Out-of-Scope Use [More Information Needed] Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. ## Training Details ### Training Data [More Information Needed] ### Preprocessing [optional] [More Information Needed] ### Training Hyperparameters - **Training regime:** [More Information Needed] ## Evaluation ### Testing Data [More Information Needed] ### Metrics [More Information Needed] ### Results [More Information Needed] ## Citation **BibTeX:** ``` @article{yang2024textbook, title={A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis}, author={Yue Yang and Mona Gandhi and Yufei Wang and Yifan Wu and Michael S. Yao and Chris Callison-Burch and James C. Gee and Mark Yatskar}, journal={arXiv preprint arXiv:2405.14839}, year={2024} } ```