The project leverages a vision-language model fine-tuned on a medical dataset, Radiology Object in Context Version 2 (ROCOv2), for medical image captioning. To overcome computational constraints, Parameter-Efficient Fine-Tuning (PEFT) was utilized, enabling efficient adaptation of the large model to the medical domain.
☆11Nov 21, 2024Updated last year
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