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Found 4 papers, 2 papers with code
Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images
Meanwhile, Catintell-Res is an image restoration network that can improve the quality of real cataract fundus images using the knowledge learned from synthetic cataract images.
A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
Diagnosing rare diseases presents a common challenge in clinical practice, necessitating the expertise of specialists for accurate identification.
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models
FATE-LLM (1) facilitates federated learning for large language models (coined FedLLM); (2) promotes efficient training of FedLLM using parameter-efficient fine-tuning methods; (3) protects the intellectual property of LLMs; (4) preserves data privacy during training and inference through privacy-preserving mechanisms.
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).
