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Semi-supervised information fusion for medical image analysis: Recent progress and future perspectives (2024)
Journal Article
Weng, Y., Zhang, Y., Wang, W., & Dening, T. (2024). Semi-supervised information fusion for medical image analysis: Recent progress and future perspectives. Information Fusion, 106, Article 102263. https://doi.org/10.1016/j.inffus.2024.102263

Supervised machine learning requires training on the dataset with annotation. However, fine-grained annotation is very expensive to acquire. In the medical image analysis domain, the sheer volume of data and lack of annotation limit the performance o... Read More about Semi-supervised information fusion for medical image analysis: Recent progress and future perspectives.