Lung Segmentation using Active Shape Model to Detect the Disease from Chest Radiography [PDF]
Background: Some parametric models are used to diagnose problems of lung segmentation more easily and effectively. Objective: The present study aims to detect lung diseases (nodules and tuberculosis) better using an active shape model (ASM) from chest ...
Masoumeh Dorri Giv +8 more
doaj +2 more sources
A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach [PDF]
We propose a medical image segmentation approach based on the Active Shape Model theory. We apply this method for cervical vertebra detection. The main advantage of this approach is the application of a statistical model created after a training stage ...
Mohammed Benjelloun +2 more
doaj +2 more sources
Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching [PDF]
Dynamic and longitudinal lung CT imaging produce 4D lung image data sets, enabling applications like radiation treatment planning or assessment of response to treatment of lung diseases.
Gurman Gill, Reinhard R. Beichel
doaj +2 more sources
Texture-and-Shape Based Active Contour Model for Insulator Segmentation
Insulator segmentation is a critical step for automatic insulator fault diagnosis in high voltage transmission systems. Existing methods fail to segment insulators when they have a low contrast with the surroundings.
Yajie Yu +5 more
doaj +3 more sources
3D Active Shape Model Segmentation with Nonlinear Shape Priors [PDF]
The Active Shape Model (ASM) is a segmentation algorithm which uses a Statistical Shape Model (SSM) to constrain segmentations to 'plausible' shapes. This makes it possible to robustly segment organs with low contrast to adjacent structures. The standard SSM assumes that shapes are Gaussian distributed, which implies that unseen shapes can be expressed
Stefan Wesarg +2 more
exaly +3 more sources
Enhancing Facial Feature Detection: Hybrid Active Shape and Active Appearance Model (HASAAM)
Face landmarking is a primary goal of many projects that lead to face-preparing activities, like biometric recognition and mental state comprehension. Despite the inherent diversity of faces, the topic has proven to be extremely difficult due to a wide ...
Musab Iqtait +4 more
doaj +3 more sources
Autonomous Prostate Segmentation in 2D B-Mode Ultrasound Images
Prostate brachytherapy is a treatment for prostate cancer; during the planning of the procedure, ultrasound images of the prostate are taken. The prostate must be segmented out in each of the ultrasound images, and to assist with the procedure, an ...
Jay Carriere +3 more
doaj +1 more source
Pedestrian Localization in a Video Sequence Using Motion Detection and Active Shape Models
There is increasing interest in video object detection for many situations, such as industrial processes, surveillance systems, and nature exploration. In this work, we were concerned with the detection of pedestrians in video sequences.
Juan Alberto Antonio Velázquez +5 more
doaj +1 more source
Mobile-Optimized Facial Expression Recognition Techniques
This paper presents two novel facial expression recognition techniques: the real-time ensemble for facial expression recognition (REFER) and the facial expression recognition network (FERNet).
Nizar El Zarif +3 more
doaj +1 more source
Active Shape Models and the Shape Approximation Problem. [PDF]
Active Shape Models (ASM) use an iterative algorithm to match statistically defined models of known but variable objects to instances in images. Each iteration of ASM search involves two steps: image data interrogation and shape approximation. Here we consider the shape approximation step in detail.
Andrew Hill +2 more
openaire +3 more sources

