Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography
Real-time 3D Echocardiography (RT3DE) has been proven to be an accurate tool for left
ventricular (LV) volume assessment. However, identification of the LV endocardium remains …
ventricular (LV) volume assessment. However, identification of the LV endocardium remains …
Multimodal image-guided prostate fusion biopsy based on automatic deformable registration
Purpose Transrectal ultrasound (TRUS)-guided random prostate biopsy is, in spite of its low
sensitivity, the gold standard for the diagnosis of prostate cancer. The recent advent of PET …
sensitivity, the gold standard for the diagnosis of prostate cancer. The recent advent of PET …
Joint 3-D vessel segmentation and centerline extraction using oblique Hough forests with steerable filters
Contributions We propose a novel framework for joint 3-D vessel segmentation and
centerline extraction. The approach is based on multivariate Hough voting and oblique …
centerline extraction. The approach is based on multivariate Hough voting and oblique …
An introduction to random forests for multi-class object detection
Object detection in large-scale real-world scenes requires efficient multi-class detection
approaches. Random forests have been shown to handle large training datasets and many …
approaches. Random forests have been shown to handle large training datasets and many …
Early powdery mildew detection system for application in greenhouse automation
P Wspanialy, M Moussa - Computers and Electronics in Agriculture, 2016 - Elsevier
Early disease detection in greenhouses is an important component of an integrated
management strategy. An automated process can be more accurate and cost effective …
management strategy. An automated process can be more accurate and cost effective …
Quality of obstacle distance measurement using ultrasonic sensor and precision of two computer vision-based obstacle detection approaches
N Amin, M Borschbach - … on Smart Sensors and Systems (IC …, 2015 - ieeexplore.ieee.org
Obstacle detection (OD) techniques for collision avoidance applications in automobiles and
unmanned aerial vehicles have been of research interest in the recent years. This technical …
unmanned aerial vehicles have been of research interest in the recent years. This technical …
Learning structured hough voting for joint object detection and occlusion reasoning
We propose a structured Hough voting method for detecting objects with heavy occlusion in
indoor environments. First, we extend the Hough hypothesis space to include both object …
indoor environments. First, we extend the Hough hypothesis space to include both object …
Efficient pose estimation from single RGB-D image via Hough forest with auto-context
We propose a high efficient learning approach to estimating 6D (Degree of Freedom) pose
of the textured or texture-less objects for grasping purposes in a cluttered environment …
of the textured or texture-less objects for grasping purposes in a cluttered environment …
Scene text recognition using a Hough forest implicit shape model and semi-Markov conditional random fields
JH Seok, JH Kim - Pattern Recognition, 2015 - Elsevier
Most of the scene text recognition methods utilize character models only in the character
recognition phase, the last stage of the process. In former phases such as text detection …
recognition phase, the last stage of the process. In former phases such as text detection …
Robust segmentation of various anatomies in 3d ultrasound using hough forests and learned data representations
F Milletari, SA Ahmadi, C Kroll… - … Image Computing and …, 2015 - Springer
Abstract 3D ultrasound segmentation is a challenging task due to image artefacts, low signal-
to-noise ratio and lack of contrast at anatomical boundaries. Current solutions usually rely …
to-noise ratio and lack of contrast at anatomical boundaries. Current solutions usually rely …