Feb. 12, 2024, 5:42 a.m. | Amin Karimi Monsefi Payam Karisani Mengxi Zhou Stacey Choi Nathan Doble Heng Ji Srinivasan Parthasarat

cs.LG updates on arXiv.org arxiv.org

Standard modern machine-learning-based imaging methods have faced challenges in medical applications due to the high cost of dataset construction and, thereby, the limited labeled training data available. Additionally, upon deployment, these methods are usually used to process a large volume of data on a daily basis, imposing a high maintenance cost on medical facilities. In this paper, we introduce a new neural network architecture, termed LoGoNet, with a tailored self-supervised learning (SSL) method to mitigate such challenges. LoGoNet integrates a …

analysis applications challenges construction cost cs.cv cs.lg daily data dataset deployment domain image imaging machine medical modern process standard training training data

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