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pro vyhledávání: '"Tian, Yuanhan"'
Autor:
Yao, Tianyuan, Qu, Chang, Long, Jun, Liu, Quan, Deng, Ruining, Tian, Yuanhan, Xu, Jiachen, Jha, Aadarsh, Asad, Zuhayr, Bao, Shunxing, Zhao, Mengyang, Fogo, Agnes B., Landman, Bennett A., Yang, Haichun, Chang, Catie, Huo, Yuankai
Publikováno v:
Machine.Learning.for.Biomedical.Imaging. 1 (2022)
With the rapid development of self-supervised learning (e.g., contrastive learning), the importance of having large-scale images (even without annotations) for training a more generalizable AI model has been widely recognized in medical image analysi
Externí odkaz:
http://arxiv.org/abs/2208.14357
Autor:
Yao, Tianyuan, Qu, Chang, Liu, Quan, Deng, Ruining, Tian, Yuanhan, Xu, Jiachen, Jha, Aadarsh, Bao, Shunxing, Zhao, Mengyang, Fogo, Agnes B., Landman, Bennett A., Chang, Catie, Yang, Haichun, Huo, Yuankai
Unsupervised learning algorithms (e.g., self-supervised learning, auto-encoder, contrastive learning) allow deep learning models to learn effective image representations from large-scale unlabeled data. In medical image analysis, even unannotated dat
Externí odkaz:
http://arxiv.org/abs/2107.08650
Akademický článek
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Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning.
Autor:
Yao T; Vanderbilt University, Department of Computer Science, Nashville, TN, USA 37215., Qu C; Vanderbilt University, Department of Computer Science, Nashville, TN, USA 37215., Long J; Central South University, Big Data Institute, Changsha, Hunan, China 410083., Liu Q; Vanderbilt University, Department of Computer Science, Nashville, TN, USA 37215., Deng R; Vanderbilt University, Department of Computer Science, Nashville, TN, USA 37215., Tian Y; Vanderbilt University, Department of Computer Science, Nashville, TN, USA 37215., Xu J; Vanderbilt University, Department of Computer Science, Nashville, TN, USA 37215., Jha A; Vanderbilt University, Department of Computer Science, Nashville, TN, USA 37215., Asad Z; Vanderbilt University, Department of Computer Science, Nashville, TN, USA 37215., Bao S; Vanderbilt University, Department of Electrical and Computer Engineering, Nashville, TN, USA 37215., Zhao M; Dartmouth College, Hanover, NH, USA 03755., Fogo AB; Vanderbilt University Medical Center, Department of Pathology, Nashville, TN, USA 37215., Landman BA; Vanderbilt University, Department of Electrical and Computer Engineering, Nashville, TN, USA 37215., Yang H; Vanderbilt University Medical Center, Department of Pathology, Nashville, TN, USA 37215., Chang C; Vanderbilt University, Department of Electrical and Computer Engineering, Nashville, TN, USA 37215., Huo Y; Vanderbilt University, Department of Electrical and Computer Engineering, Nashville, TN, USA 37215.
Publikováno v:
The journal of machine learning for biomedical imaging [J Mach Learn Biomed Imaging] 2022 Aug; Vol. 1. Date of Electronic Publication: 2022 Sep 04.