Biocybernetics and Biomedical Engineering - Tom Vol. 40, no. 2 (2020) - BazTech - Yadda

Tom - szczegóły

Tytuł artykułu

Vol. 40, no. 2

Czasopismo

Biocybernetics and Biomedical Engineering

Wydawca

Nałęcz Institute of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences
Elsevier

Rocznik

2020

Identyfikatory

Zawartość wolumenu

Vol. 40, no. 2
- artykuł: Multi-path convolutional neural network in fundus segmentation of blood vessels (Tian Chun, Fang Tao, Fan Yingle, Wu Wei), s. 583--595
- artykuł: Biodegradable bone implants in orthopedic applications: a review (Chandra Girish, Pandey Ajay), s. 596--610
- artykuł: A novel automation-assisted cervical cancer reading method based on convolutional neural network (Xiang Yao, Sun Wanxin, Pan Changli, Yan Meng, Yin Zhihua, Liang Yixiong), s. 611--623
- artykuł: A review of fabrication polymer scaffolds for biomedical applications using additive manufacturing techniques (Szymczyk-Ziólkowska Patrycja, Labowska Magdalena Beata, Detyna Jerzy, Michalak Izabela, Gruber Piotr), s. 624--638
- artykuł: A novel approach for segmentation and counting of overlapped leukocytes in microscopic blood images (Sudha K., Geetha P.), s. 639--648
- artykuł: A comparative analysis of signal processing and classification methods for different applications based on EEG signals (Khosla Ashima, Khandnor Padmavati, Chand Trilok), s. 649--690
- artykuł: Spectral entropy and deep convolutional neural network for ECG beat classification (Asgharzadeh-Bonab Akbar, Amirani Mehdi Chehel, Mehri Alaeddin), s. 691--700
- artykuł: A 3D-CNT micro-electrode array for zebrafish ECG study including directionality measurement and drug test (Shih Mulaine, Kuo Chia-Tung, Lin Min-Hsuan, Chuang Yung-Jen, Chen Hsin, Yew Tri-Rung), s. 701--708
- artykuł: Classification of epileptic EEG signals using PSO based artificial neural network and tunable-Q wavelet transform (George S. Thomas, Subathra M. S. P., Sairamya N. J., Susmitha L., Joel Premkumar M.), s. 709--728
- artykuł: A fast graph-based algorithm for automated segmentation of subcutaneous and visceral adipose tissue in 3D abdominal computed tomography images (Kucybala Iwona, Tabor Zbislaw, Ciuk Szymon, Chrzan Robert, Urbanik Andrzej, Wojciechowski Wadim), s. 729--739
- artykuł: Experimental and numerical flow analysis through arteries with stent using particle image velocimetry and computational fluid dynamics method (Tomaszewski Michal, Sybilski Kamil, Baranowski Pawel, Malachowski Jerzy), s. 740--751
- artykuł: A hybrid feature preservation technique based on luminosity and edge based contrast enhancement in color fundus images (Palanisamy Gopinath, Shankar Natarajan B., Ponnusamy Palanisamy, Gopi Varun P.), s. 752--763
- artykuł: Bile acid kinetic modeling in end-stage liver support patients (Jung Aleksandra, Korohoda Przemyslaw, Krisper Peter, Stadlbauer Vanessa, Stauber Rudolf E., Schneditz Daniel), s. 764--773
- artykuł: A sparse pair-preserving centroid-based supervised learning method for high-dimensional biomedical data or images (Kalina Jan, Matonoha Ctirad), s. 774--786
- artykuł: A semi-automated annotation algorithm based on weakly supervised learning for medical images (Li Hailiang, Zhang Bin, Zhang Yu, Liu Weiwei, Mao Yijun, Huang Jiacheng, Wei Linfeng), s. 787--802
- artykuł: Recognition of ECG signals using wavelet based on atomic functions (Hernandez-Matamoros Andres, Fujita Hamido, Escamilla-Hernandez Enrique, Perez-Meana Hector, Nakano-Miyatake Mariko), s. 803--814
- artykuł: An automated computer-aided diagnosis system for classification of MR images using texture features and gbest-guided gravitational search algorithm (Shanker Ravi, Bhattacharya Mahua), s. 815--835
- artykuł: A new numerical approach for DNA representation using modified Gabor wavelet transform for the identification of protein coding regions (Raman Kumar M., Vaegae Naveen Kumar), s. 836--848
- artykuł: Prediction of displacement in the equine third metacarpal bone using a neural network prediction algorithm (Mouloodi Saeed, Rahmanpanah Hadi, Burvill Colin, Davies Helen M. S.), s. 849--863

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