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OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue
We introduce visual ability into the large language model to complete the ophthalmic large language and vision assistant (OphGLM).
Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms
Starting with a fully supervised model trained on the data with pixel-level masks, the proposed framework iteratively refines the model itself using the entire weakly labeled data (image-level soft label) in a self-training fashion.
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