Involvement of machine learning for breast cancer image classification: a survey
AA Nahid, Y Kong - Computational and mathematical methods …, 2017 - Wiley Online Library
Breast cancer is one of the largest causes of women's death in the world today. Advance
engineering of natural image classification techniques and Artificial Intelligence methods …
engineering of natural image classification techniques and Artificial Intelligence methods …
On the role and the importance of features for background modeling and foreground detection
Background modeling has emerged as a popular foreground detection technique for various
applications in video surveillance. Background modeling methods have become increasing …
applications in video surveillance. Background modeling methods have become increasing …
An extended center-symmetric local binary pattern for background modeling and subtraction in videos
In this paper, we propose an eXtended Center-Symmetric Local Binary Pattern (XCS-LBP)
descriptor for background modeling and subtraction in videos. By combining the strengths of …
descriptor for background modeling and subtraction in videos. By combining the strengths of …
Obstacle detection in single images with deep neural networks
B Jia, W Feng, M Zhu - Signal, Image and Video Processing, 2016 - Springer
Obstacle detection in single images is a challenging problem in autonomous navigation on
low-cost condition. In this paper, we introduce an approach for obstacle detection in single …
low-cost condition. In this paper, we introduce an approach for obstacle detection in single …
Adjacent LBP and LTP based background modeling with mixed-mode learning for foreground detection
Detection of video objects under bad weather and poor illumination condition is a
challenging task. We address this issue using the notion of background modeling. LBP …
challenging task. We address this issue using the notion of background modeling. LBP …
Instance-vote-based motion detection using spatially extended hybrid feature space
Motion recognition, a trivial step employed in several video-based applications, is still a
challenging task in real-world complex scenarios containing dynamic noise, varying …
challenging task in real-world complex scenarios containing dynamic noise, varying …
Role of GNB3, NET, KCNJ11, TCF7L2 and GRL genes single nucleotide polymorphism in the risk prediction of type 2 diabetes mellitus
S Rizvi, ST Raza, Q Rahman, F Mahdi - 3 Biotech, 2016 - Springer
Abstract Type 2 diabetes (T2DM) is a polygenic metabolic disorder characterized by
hyperglycemia occurring as a result of impaired insulin secretion or insulin resistance …
hyperglycemia occurring as a result of impaired insulin secretion or insulin resistance …
A novel visible spectrum images-based pedestrian detection and tracking system for surveillance in non-controlled environments
For many vision applications, robust detection and tracking of pedestrians in image
sequences are essential. In this paper, a hybrid system for pedestrian detection and tracking …
sequences are essential. In this paper, a hybrid system for pedestrian detection and tracking …
“Smartmonitor”—An intelligent security system for the protection of individuals and small properties with the possibility of home automation
“SmartMonitor” is an intelligent security system based on image analysis that combines the
advantages of alarm, video surveillance and home automation systems. The system is a …
advantages of alarm, video surveillance and home automation systems. The system is a …
Texture analysis for machine learning based marble tiles sorting
In this paper, the classification of ornamental dolomitic marble stone tiles, in regard to their
aesthetical value, was studied based on the rock's texture. The stone tiles examined are of a …
aesthetical value, was studied based on the rock's texture. The stone tiles examined are of a …