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Analysis of the Mathematical Model of Covid-19 in Thailand
The purpose of this research is to study the characteristics of the COVID-19 virus in Thailand. We formulate the mathematical model of COVID-19 virus. We separate the human populations into 6 groups. The infected human populations are separated into 2 ...
Genotype Imputation with Homomorphic Encryption
- Fook Mun Chan,
- Ahmad Qaisar Ahmad Al Badawi,
- Jun Jie Sim,
- Benjamin Hong Meng Tan,
- Foo Chuan Sheng,
- Khin Mi Mi Aung
Genotype imputation is a technique used to determine unobserved genomic markers when sequencing genomic data. This is a cost effective method for sequencing a genome. Due to the large amount of personal identifiable information involved in genomic ...
A Liver Electrosurgery Simulator Developed by Unity Engine
Virtual surgery has been widely used in medical training for safety and cost reasons. The hepatectomy simulator we proposed in this paper is a virtual surgical system designed to simulate the resection of liver with electric knife. It can help medical ...
Transmission Model of Tuberculosis Disease with Age Structure of Human in Thailand
Mycobacterium tuberculosis caused Tuberculosis. This bacteria attack the lungs and the other parts of the body. Tuberculosis distributed from human to human through the air. The symptoms of Tuberculosis in the lungs may include a bad cough that lasts >= ...
Molecular and Mechanical Pathways in Airway Smooth Muscle Relaxation
Chemistry and physics play an important role in relaxing contracted airway smooth muscles (ASM). This work investigates whether combining the two will result in enhanced ASM relaxation. Isolated bovine trachea ASM strips were employed using acetylcholine ...
Compact Breathing Sensor with Humidified Air Delivery
Piezoelectric actuators as fans for air delivery are very attractive due to their ultra-lightweight, small power consumption, and low noise. Therefore, recent studies were taken on piezoelectric actuators as a potential alternative to air compressor/...
A Multi-Scale and Multi-Resolution Approach for Liver Tumor Segmentation in CT Scans
Hepatocellular carcinoma currently causes over 800 000 fatalities per year worldwide – and the number of cases is increasing. An early diagnosis and treatment play a crucial role in saving patients’ lives. The purpose of this study is the exploration of ...
Glioma Image Segmentation Method on Fully Convolutional Neural Network
Aiming at the difference in the segmentation performance of the three segmentation target regions in the glioma image segmentation task based on the fully convolutional neural network, we propose a comprehensive evaluation method of neural network ...
Retracted on August 7, 2023: Uniqueness Results of Mixed Interior and Exterior Problems for CT Image Reconstruction
NOTICE OF RETRACTION: It has been determined that this paper was submitted without the consent and knowledge of one of the authors. As a result, ACM is retracting the paper. As from the date of the retraction, August 7, 2023, this paper should not be ...
A Design of Zynq-based Medical Image Edge Detection Accelerator
Edge detection technology plays an important role in medical image processing. Sobel operator edge detection is one of the commonly used edge detection operators. At present, most of the solutions using Sobel operator for edge detection of medical images ...
Unified Framework to Construct Fast Row-Action-Type Iterative CT Reconstruction Methods with Total Variation Using Multi Proximal Splitting
Recently, to realize low-dose scan in CT imaging, a number of iterative reconstruction methods with Total Variation (TV) regularization have been investigated. In particular, reconstruction methods based on proximal splitting framework have been actively ...
An FPGA-Based Hardware Accelerator for 2D Labeling
The 2D Labeling algorithm is used in many applications due to its superior image processing quality. As the requirements of image processing continue to increase, generating huge computational workloads, the efficient real-time implementation of this ...
Trans-Attention Multiple Instance Learning for Cancer Tissue Classification in Digital Histopathology Images
The detection of cancerous tissue in histopathological slides is of great value in both clinical practice and pathology research. This paper presents a novel approach that targets automatically classifying cancer tissue by leveraging an attention ...
Crossmodal Matching Transformer based X-ray and CT image registration for TEVAR
Since the mapping relationship between definitized intra-interventional 2D X-ray and undefined pre-interventional 3D Computed Tomography(CT) is uncertain, auxiliary positioning devices or body markers, such as medical implants, are commonly used to ...
Index Terms
- Proceedings of the 6th International Conference on Biomedical Signal and Image Processing