Classification of thermal image of clinical burn based on incremental reinforcement learning-Reference-Cited by-同舟云学术

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Classification of thermal image of clinical burn based on incremental reinforcement learning

Published:2021-03-18 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Wu Xianjun,Huang Wendong,Wu Xiaoli,Wu Shenghang,Huang Jinbo

Funder

High-level Hospital Construction Research Project of Maoming People’s Hospital

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

https://link.springer.com/content/pdf/10.1007/s00521-021-05772-7.pdf

Reference25 articles.

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2. Banerjee A, Maji P (2015) Rough sets and stomped normal distribution for simultaneous segmentation and bias field correction in brain MR images[J]. IEEE Trans Image Process 24(12):5764–5776

3. Bao S, Chung ACS (2018) Multi-scale structured CNN with label consistency for brain MR image segmentation[J]. Comput Methods Biomech Biomed Eng Imaging Vis 6(1):113–117

4. Chuang YH, Ou HY, Lazo MZ et al (2018) Predicting post-hepatectomy liver failure by combined volumetric, functional MR image and laboratory analysis[J]. Liver Int 38(5):868–874

5. Gao Z, Li Y, Sun Y et al (2017) Motion tracking of the carotid artery wall from ultrasound image sequences: a nonlinear state-space approach[J]. IEEE Trans Med Imaging 37(1):273–283

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5. Correction to: Classification of thermal image of clinical burn based on incremental reinforcement learning;Neural Computing and Applications;2021-05-16

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