Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation

Author:

He Xinzi1,Yu Zhen1,Wang Tianfu1,Lei Baiying1,Shi Yiyan2

Affiliation:

1. School of Biomedical Engineering, Health Science Center, Shenzhen University, National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, Guangdong Key Laboratory for Biomedical Measurements and Ultrasound Imaging, Shenzhen, Guangdong, China

2. Shenzhen Center for Emergency Medicine, Shenzhen, Guangdong, China

Publisher

IOS Press

Subject

Health Informatics,Biomedical Engineering,Information Systems,Biomaterials,Bioengineering,Biophysics

Reference24 articles.

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4. Histopathological image classification with color pattern random binary hashing-based PCANet and matrix-form classifier;Shi;IEEE Journal of Biomedical and Health Informatics,2017

5. Multimodal neuroimaging feature learning with multimodal stacked deep polynomial networks for diagnosis of Alzheimer’s disease;Shi;IEEE Journal of Biomedical and Health Informatics,2018

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3. A Prototype Design for the Detection of Skin Cancer Types Using Tensorflow;2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA);2023-10-07

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5. FFT-Assisted U-Net Architecture for Improved Skin Lesion Segmentation;2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA);2023-05-21

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