ICBSP provides a scientific platform for both local and international scientists, engineers and technologists who work in all aspects of biomedical imaging and signal processing. In addition to the contributed papers, internationally known experts from several countries are also invited to deliver keynote and plenary speeches at ICBSP 2018
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Comparing the Performances of PCA (Principle Component Analysis) and LDA (Linear Discriminant Analysis) Transformations on PAF (Paroxysmal Atrial Fibrillation) Patient Detection
Linear Discriminant Analysis (LDA) and Principle Component Analysis (PCA) are offered schemes for feature extraction and dimension reduction. They have been used extensively in many applications involving high-dimensional data. In this study, we ...
Effects of Different Nail Polish Colors on Arterial Blood Oxygen Saturation Values (SpO2) in Pakistani Population
Pulse oximetry measures arterial oxygen saturation level (SpO2) in the blood. Low SpO2 value are associated with conditions such as hypothermia, hypoxemia, vascular dysfunction and other respiratory disorders. Although, it has been reported earlier that ...
ECG Monitoring and Anomaly Detection Based on Compressed Measurements
Long-term monitoring systems based on wearable devices and local devices with computational capabilities -smartphone, smartwatch- could be used in the prevention of cardiovascular disease in risk subjects or during the follow-up for increasing the ...
Identification of Multi-Channel Simulated Auditory Event-Related Potentials using a Combination of Principal Component Analysis and Kalman Filtering
The aim of this paper to develop a new method for separating auditory event-related potentials (ERP) signal from artefacts or noise. In experimental conditions, ERPs can be approximated by weighted sums of Principal Component Analysis (PCA) basis ...
Long-Term Sleep Assessment by Unobtrusive Pressure Sensor Arrays
Due to a globally aging population, there is a growing demand for smart home technology which can serve to monitor the health and safety of older adults. Sleep monitoring has emerged as a crucial element of this monitoring. While polysomnography (PSG) ...
Fast Estimation of Downsampling Factor for Biomedical Image Registration
An approach to fasten medical image registration algorithms is suggested. It is based on the preliminary estimation the possible downsampling factor before the registration. The estimation algorithm uses fast bidirectional empirical mode decomposition. ...
Automatic Segmentation of HEp-2 Cells Based on Active Contours Model
In the past years, a great deal of effort was put into research regarding Indirect Immunofluorescence techniques with the aim of development of CAD systems. In this work a method for segmenting HEp-2 cells in IIF images is presented. Such task is one of ...
3D Detection of Spheric and Aspheric Femoral Heads in Coronal MR Images of Patients with Legg-Calve-Perthes Disease Using the Spherical Hough Transform
This paper presents a study of 3D femoral head detection in coronal magnetic resonance (MR) imaging sequences to detect the spheric and aspheric femoral heads using the Spherical Hough Transform (SHT). Shape structure and functionality of the femoral ...
Non-Informative Frame Classification in Colonoscopy Videos Using CNNs
In the US, colorectal cancer is the second leading cause of cancer-related deaths behind lung cancer, causing about 49,000 annual deaths. Colonoscopy is currently the gold standard procedure for colorectal cancer screening. However, recent data suggest ...
Segmentation of Femoral Cartilage with a Hybrid Method Combining Voxel Classification and Active Appearance Models
In this paper a hybrid segmentation method was proposed for delineation of the femoral cartilage compartment in knee MR images. A formerly developed voxel classification-based segmentation system was combined with an active appearance model (AAM) based ...
Micro Disposable Biometric Authentication: An Application Using Fingernail Minute Textures for Nonsensitive Services
Recently, biometric authentication has been applied to not only sensitive services such as in emigration/ immigration inspection systems and ATMs but also nonsensitive services such as entry/exit management systems of theme parks or coin lockers. ...
Three-Dimensional Reconstruction of Cardiac Structures Using CT Images
This paper describes a software tool for building and displaying tri-dimensional cardiac structures from a sequence of Computer Tomography (CT) scan images. The development process followed for this work can be divided into 5 stages. During the first ...
Lung Segmentation Using a Fully Convolutional Neural Network with Weekly Supervision
Most supervised methods for lung CT image segmentation require all training examples to be labeled with segmentation masks. This requirement makes it expensive to annotate varies categories of lung diseases. The goal of this paper is to propose a new ...
Tissue Region Growing for Hispathology Image Segmentation
The accurate identification of the tumour tissue border is of crucial importance for histopathology image analysis. However, due to the high morphology variance in histology images, especially in border regions where cancer tissue interfere into the ...
Machine Learning and DSP Algorithms for Screening of Possible Osteoporosis Using Electronic Stethoscopes
Osteoporosis is a prevalent but asymptomatic condition that affects a large population of the elderly, resulting in a high risk of fracture. Several methods have been developed and are available in general hospitals to indirectly assess the bone quality ...
Development of an Electromagnetic Tracking System for Surgical Instruments Positioning
Electromagnetic tracking systems are widely used in image-guided surgery to detect the position of surgical instrument in the patient's anatomical 3D model. The present study proposes the development and evaluation of a new EMTS able to provide a wide ...
Index Terms
- Proceedings of the 2018 3rd International Conference on Biomedical Imaging, Signal Processing