Multi-step medical image segmentation based on reinforcement learning

Author:

Tian Zhiqiang,Si Xiangyu,Zheng Yaoyue,Chen Zhang,Li Xiaojian

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference53 articles.

1. Aguirreramos H, Avinacervantes JG, Cruzaceves I, Ruizpinales J, Ledesma S (2018) Blood vessel segmentation in retinal fundus images using gabor filters, fractional derivatives, and expectation maximization. Appl Math Comput 339:568–587

2. Ahmadvand A, Daliri MR (2015) Improving the runtime of mrf based method for mri brain segmentation. Appl Math Comput 256:808–818

3. Alansary A, Oktay O, Li Y, Le Folgoc L, Hou B, Vaillant G, Kamnitsas K, Vlontzos A, Glocker B, Kainz B et al (2019) Evaluating reinforcement learning agents for anatomical landmark detection. Med Image Anal 53:156–164

4. Arulkumaran K, Deisenroth MP, Brundage M, Bharath AA (2017) Deep reinforcement learning: a brief survey. IEEE Signal Process Mag 34(6):26–38

5. Ba J, Mnih V, Kavukcuoglu K (2014) Multiple object recognition with visual attention. arXiv preprint arXiv:14127755

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