activity
20172019
most citedDeep Learning with Lung Segmentation and Bone Shadow Exclusion Techniques for Chest X-Ray Analysis of Lung Cancer

131 citations · 313 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2019

Prediction of Physical Load Level by Machine Learning Analysis of Heart Activity after Exercises

Peng Gang, Wei Zeng, Yuri Gordienko +3

The assessment of energy expenditure in real life is of great importance for monitoring the current physical state of people, especially in work, sport, elderly care, health care,…

cs.LG2018★ 6 cited

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…

cs.LG2018★ 4 cited

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…

cs.CV2018★ 13 cited

Performance Evaluation of Deep Learning Networks for Semantic Segmentation of Traffic Stereo-Pair Images

Vlad Taran, Nikita Gordienko, Yuriy Kochura +4

Semantic image segmentation is one the most demanding task, especially for analysis of traffic conditions for self-driving cars. Here the results of application of several deep lea…

cs.LG2018★ 110 cited

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…

cs.LG2018★ 49 cited

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…

cs.LG2017★ 131 cited

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…