131 citations
- National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”UA6 papers
- Chinese Academy of SciencesCN5 papers
- Sun Yat-sen UniversityCN4 papers
- Institute of Modern PhysicsCN3 papers
- Malmö UniversitySE3 papers
- University of Chinese Academy of SciencesCN3 papers
- Uppsala UniversitySE3 papers
- Azarbaijan Shahid Madani UniversityIR2 papers
- Bar-Ilan UniversityIL2 papers
- Istituto NanoscienzeIT2 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di PisaIT2 papers
- Jinan UniversityCN2 papers
5 papers · 1 filter
Open Source Dataset and Machine Learning Techniques for Automatic Recognition of Historical Graffiti
Nikita Gordienko, Peng Gang, Yuri Gordienko +4
Machine learning techniques are presented for automatic recognition of the historical letters (XI-XVIII centuries) carved on the stoned walls of St.Sophia cathedral in Kyiv (Ukrain…
Parallel Statistical and Machine Learning Methods for Estimation of Physical Load
Sergii Stirenko, Gang Peng, Wei Zeng +4
Several statistical and machine learning methods are proposed to estimate the type and intensity of physical load and accumulated fatigue . They are based on the statistical analys…
Chest X-Ray Analysis of Tuberculosis by Deep Learning with Segmentation and Augmentation
Sergii Stirenko, Yuriy Kochura, Oleg Alienin +4
The results of chest X-ray (CXR) analysis of 2D images to get the statistically reliable predictions (availability of tuberculosis) by computer-aided diagnosis (CADx) on the basis…
Dimensionality Reduction in Deep Learning for Chest X-Ray Analysis of Lung Cancer
Yu. Gordienko, Yu. Kochura, O. Alienin +5
Efficiency of some dimensionality reduction techniques, like lung segmentation, bone shadow exclusion, and t-distributed stochastic neighbor embedding (t-SNE) for exclusion of outl…
Deep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer
Yu. Gordienko, Peng Gang, Jiang Hui +5
The recent progress of computing, machine learning, and especially deep learning, for image recognition brings a meaningful effect for automatic detection of various diseases from…