Dense deconvolution net: Multi path fusion and dense deconvolution for high resolution skin lesion segmentation-Reference-Cited by-同舟云学术

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

Published:2018-05-29 Issue: Volume:26 Page:307-316
ISSN:0928-7329
Container-title:Technology and Health Care
language:
Short-container-title:THC

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.

1. Cancer Statistics, 2017;Siegel;Ca-a Cancer Journal for Clinicians,2017

2. Cancer Statistics, 2016;Siegel;Ca-a Cancer Journal for Clinicians,2016

3. Ugly duckling sign as a major factor of efficiency in melanoma detection;Gaudy-Marqueste;Jama Dermatology,2017

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

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Empirical algorithm to detect skin disease using deep convolution neural networks through mobilenet algorithm;Journal of Information and Optimization Sciences;2024

2. Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithm;European Journal of Theoretical and Applied Sciences;2023-11-01

3. Automated approach for skin lesion segmentation utilizing a hybrid deep learning algorithm;Multimedia Tools and Applications;2023-10-19

4. 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

5. Multi-Class Skin Diseases Classification with Color and Texture Features Using Convolution Neural Network;2023 6th International Conference on Contemporary Computing and Informatics (IC3I);2023-09-14