Is in-domain data beneficial in transfer learning for landmarks detection in x-ray images?

arXiv:2403.01470v1 Announce Type: new
Abstract: In recent years, deep learning has emerged as a promising technique for medical image analysis. However, this application domain is likely to suffer from a limited availability of large public datasets and annotations. A common solution to these challenges in deep learning is the usage of a transfer learning framework, typically with a fine-tuning protocol, where a large-scale source dataset is used to pre-train a model, further fine-tuned on the target dataset. In this paper, …

abstract analysis annotations application arxiv availability challenges cs.cv data datasets deep learning detection domain image images medical public ray solution transfer transfer learning type x-ray