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Nov, 2023
MeLo: 低秩适应优于微调用于医学图像诊断
MeLo: Low-rank Adaptation is Better than Fine-tuning for Medical Image Diagnosis
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Yitao Zhu, Zhenrong Shen, Zihao Zhao, Sheng Wang, Xin Wang...
TL;DR
我们提出一种新的方法MeLo (Medical image Low-rank adaptation),通过低秩适应而非资源需求大的微调,以轻量化的方式为多个临床任务开发单一的CAD模型,在各种不同的成像模态上,仅使用较少的可训练参数实现了可比较的结果。
Abstract
The common practice in developing
computer-aided diagnosis
(CAD) models based on
transformer architectures
usually involves fine-tuning from ImageNet pre-trained weights. However, with recent advances in large-sc
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