Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Kulwa, Frank"'
Autor:
Samuel, Oluwarotimi Williams, Asogbon, Mojisola Grace, Khushaba, Rami, Kulwa, Frank, Li, Guanglin
Publikováno v:
IEEE Transactions on Biomedical Engineering, November 2022
Surface electromyogram (sEMG) is arguably the most sought-after physiological signal with a broad spectrum of biomedical applications, especially in miniaturized rehabilitation robots such as multifunctional prostheses. The widespread use of sEMG to
Externí odkaz:
http://arxiv.org/abs/2211.07378
Autor:
Kulwa, Frank, Samuel, Oluwarotimi Williams, Asogbon, Mojisola Grace, Obe, Olumide Olayinka, Li, Guanglin
The use of deep neural networks in electromyogram (EMG) based prostheses control provides a promising alternative to the hand-crafted features by automatically learning muscle activation patterns from the EMG signals. Meanwhile, the use of raw EMG si
Externí odkaz:
http://arxiv.org/abs/2209.05804
Autor:
Kulwa, Frank, Li, Chen, Grzegorzek, Marcin, Rahaman, Md Mamunur, Shirahama, Kimiaki, Kosov, Sergey
The use of Environmental Microorganisms (EMs) offers a highly efficient, low cost and harmless remedy to environmental pollution, by monitoring and decomposing of pollutants. This relies on how the EMs are correctly segmented and identified. With the
Externí odkaz:
http://arxiv.org/abs/2208.14957
Autor:
Kulwa, Frank, Li, Yongcheng, Samuel, Oluwarotimi W., Zhang, Haipeng, Oyemakinde, Tolulope T., Asogbon, Mojisola G., McEwan, Alistair A., Li, Guanglin
Publikováno v:
In Biomedical Signal Processing and Control September 2024 95 Part A
Autor:
Rahaman, Md Mamunur, Li, Chen, Yao, Yudong, Kulwa, Frank, Wu, Xiangchen, Li, Xiaoyan, Wang, Qian
Publikováno v:
Computers in Biology and Medicine, 136, 104649 (2021)
Cervical cancer, one of the most common fatal cancers among women, can be prevented by regular screening to detect any precancerous lesions at early stages and treat them. Pap smear test is a widely performed screening technique for early detection o
Externí odkaz:
http://arxiv.org/abs/2102.12191
Autor:
Kulwa, Frank, Li, Chen, Zhang, Jinghua, Shirahama, Kimiaki, Kosov, Sergey, Zhao, Xin, Sun, Hongzan, Jiang, Tao, Grzegorzek, Marcin
Environmental microorganism (EM) offers a high-efficient, harmless, and low-cost solution to environmental pollution. They are used in sanitation, monitoring, and decomposition of environmental pollutants. However, this depends on the proper identifi
Externí odkaz:
http://arxiv.org/abs/2102.12147
Autor:
Li, Zihan, Li, Chen, Yao, Yudong, Zhang, Jinghua, Rahaman, Md Mamunur, Xu, Hao, Kulwa, Frank, Lu, Bolin, Zhu, Xuemin, Jiang, Tao
Environmental Microorganism Data Set Fifth Version (EMDS-5) is a microscopic image dataset including original Environmental Microorganism (EM) images and two sets of Ground Truth (GT) images. The GT image sets include a single-object GT image set and
Externí odkaz:
http://arxiv.org/abs/2102.10370
SARS-CoV-2 has characteristics of wide contagion and quick propagation velocity. To analyse the visual information of it, we build a SARS-CoV-2 Microscopic Image Dataset (SC2-MID) with 48 electron microscopic images and also prepare their ground trut
Externí odkaz:
http://arxiv.org/abs/2004.03416
Autor:
Zhang, Jinghua, Li, Chen, Kulwa, Frank, Zhao, Xin, Sun, Changhao, Li, Zihan, Jiang, Tao, Li, Hong, Qi, Shouliang
Publikováno v:
BioMed Research International, vol. 2020, Article ID 4621403, 27 pages, 2020
To assist researchers to identify Environmental Microorganisms (EMs) effectively, a Multiscale CNN-CRF (MSCC) framework for the EM image segmentation is proposed in this paper. There are two parts in this framework: The first is a novel pixel-level s
Externí odkaz:
http://arxiv.org/abs/2003.03744
Autor:
Sun, Changhao, Li, Chen, Zhang, Jinghua, Rahaman, Muhammad, Ai, Shiliang, Chen, Hao, Kulwa, Frank, Li, Yixin, Li, Xiaoyan, Jiang, Tao
Publikováno v:
Biocybernetics and Biomedical Engineering, 2020, 40(4): 1535-1555
For the Convolutional Neural Networks (CNNs) applied in the intelligent diagnosis of gastric cancer, existing methods mostly focus on individual characteristics or network frameworks without a policy to depict the integral information. Mainly, Condit
Externí odkaz:
http://arxiv.org/abs/2003.01302