Active, continual fine tuning of convolutional neural networks for reducing annotation efforts - researchr publication related

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Zongwei Zhou, Jae Y. Shin, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang. Active, continual fine tuning of convolutional neural networks for reducing annotation efforts. Medical Image Analysis, 71:101997, 2021. [doi]

The following publications are possibly variants of this publication:

Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and IncrementallyZongwei Zhou, Jae Y. Shin, Lei Zhang, Suryakanth R. Gurudu, Michael B. Gotway, Jianming Liang. cvpr 2017: 4761-4772 [doi]

On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical ImagingNima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang. In Le Lu, Yefeng Zheng, Gustavo Carneiro, Lin Yang, editors, Deep Learning and Convolutional Neural Networks for Medical Image Computing - Precision Medicine, High Performance and Large-Scale Datasets. Advances in Computer Vision and Pattern Recognition, pages 181-193, Springer, 2017. [doi]

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?Nima Tajbakhsh, Jae Y. Shin, Suryakanth R. Gurudu, R. Todd Hurst, Christopher B. Kendall, Michael B. Gotway, Jianming Liang. tmi, 35(5):1299-1312, 2016. [doi]

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