Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN

Qin, Guan; Chen, Yizhou; Wei, Zihan; Heidari, Ali Asghar; Hu, Haigen; Yang, Xuhua; Zheng, Jingwu; Zhou, Qianwei; Chen, Huiling; Chen, Feng

doi:10.1016/j.compbiomed.2022.105444

Cited by 97 publications

(27 citation statements)

References 19 publications

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“… Chen, et al, 2022 ; Q. Guan, et al, 2022 ), dynamic module detection (D. Li et al, 2021 , Ma et al, 2020 ), disease prediction (L. Li et al, 2021 , Su et al, 2019 ; Q.-W. Wu, et al, 2021 ), pharmacoinformatic data mining (J. Yin, et al, 2020 ; F. Zhu, et al, 2012 ), microgrids planning (X.…”

Section: Resultsmentioning

confidence: 99%

Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19

Zhao

Wang

Heidari

et al. 2023

Expert Systems with Applications

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Section: Resultsmentioning

confidence: 99%

Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19

Zhao

Wang

Heidari

et al. 2023

Expert Systems with Applications

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“…However, it can be seen from Table 18 that the time cost of BGLSMA is relatively high, which is partly due to the high time cost of BSMA and partly due to the addition of mechanism, which leads to the increase of time cost. Correspondingly, the mechanism greatly improves the performance of the algorithm, allowing it to be applied to more domains, such as human activity recognition [74], microgrid planning [75], medical image augmentation [76], autism spectrum disorder classification [77], disease prediction [78,79], named entity recognition [80], information retrieval services [81][82][83], and recommender systems [84][85][86][87].…”

Section: Discussionmentioning

confidence: 99%

Boosting Slime Mould Algorithm for High-Dimensional Gene Data Mining: Diversity Analysis and Feature Selection

Qiu

Guo

Chen

et al. 2022

Computational and Mathematical Methods in Medicine

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Slime mould algorithm (SMA) is a new metaheuristic algorithm, which simulates the behavior and morphology changes of slime mould during foraging. The slime mould algorithm has good performance; however, the basic version of SMA still has some problems. When faced with some complex problems, it may fall into local optimum and cannot find the optimal solution. Aiming at this problem, an improved SMA is proposed to alleviate the disadvantages of SMA. Based on the original SMA, Gaussian mutation and Levy flight are introduced to improve the global search performance of the SMA. Adding Gaussian mutation to SMA can improve the diversity of the population, and Levy flight can alleviate the local optimum of SMA, so that the algorithm can find the optimal solution as soon as possible. In order to verify the effectiveness of the proposed algorithm, a continuous version of the proposed algorithm, GLSMA, is tested on 33 classical continuous optimization problems. Then, on 14 high-dimensional gene datasets, the effectiveness of the proposed discrete version, namely, BGLSMA, is verified by comparing with other feature selection algorithm. Experimental results reveal that the performance of the continuous version of the algorithm is better than the original algorithm, and the defects of the original algorithm are alleviated. Besides, the discrete version of the algorithm has a higher classification accuracy when fewer features are selected. This proves that the improved algorithm has practical value in high-dimensional gene feature selection.

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“…These networks have also been applied in the field of medical image segmentation. For example, Guan et al [ 19 ] proposed a multichannel progressive generative adversarial network based on texture constraints. The CNN-based FCN achieved the first end-to-end segmentation and performed better than traditional manual feature segmentation methods.…”

Section: Related Workmentioning

confidence: 99%

HADCNet: Automatic segmentation of COVID-19 infection based on a hybrid attention dense connected network with dilated convolution

Chen

Zhou

Chen

et al. 2022

Computers in Biology and Medicine

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Medical image augmentation for lesion detection using a texture-constrained multichannel progressive GAN

Cited by 97 publications

References 19 publications

Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19

Boosted crow search algorithm for handling multi-threshold image problems with application to X-ray images of COVID-19

Boosting Slime Mould Algorithm for High-Dimensional Gene Data Mining: Diversity Analysis and Feature Selection

HADCNet: Automatic segmentation of COVID-19 infection based on a hybrid attention dense connected network with dilated convolution

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