Search Results - "Mashohor, Syamsiah"
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Computer-aided detection/diagnosis of breast cancer in mammography and ultrasound: a review
Published in Clinical imaging (01-05-2013)“…Abstract Breast cancer is the most common form of cancer among women worldwide. Early detection of breast cancer can increase treatment options and patients'…”
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Review of liver segmentation and computer assisted detection/diagnosis methods in computed tomography
Published in The Artificial intelligence review (01-12-2018)“…Computed tomography (CT) imaging remains the most utilized modality for liver-related cancer screening and treatment monitoring purposes. Liver, liver tumor…”
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3
Machine learning in medicinal plants recognition: a review
Published in The Artificial intelligence review (2021)“…Medicinal plants are gaining attention in the pharmaceutical industry due to having less harmful effects reactions and cheaper than modern medicine. Based on…”
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A review of computer assisted detection/diagnosis (CAD) in breast thermography for breast cancer detection
Published in The Artificial intelligence review (01-04-2013)“…Breast cancer is the leading type of cancer diagnosed in women. For years human limitations in interpreting the thermograms possessed a considerable challenge,…”
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Supervised retinal vessel segmentation from color fundus images based on matched filtering and AdaBoost classifier
Published in PloS one (11-12-2017)“…The structure and appearance of the blood vessel network in retinal fundus images is an essential part of diagnosing various problems associated with the eyes,…”
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Mechanical and Imaging Properties of a Clinical-Grade Kidney Phantom Based on Polydimethylsiloxane and Elastomer
Published in Polymers (28-01-2022)“…Medical imaging phantoms are considered critical in mimicking the properties of human tissue for calibration, training, surgical planning, and simulation…”
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Histopathology imagery dataset of Ph-negative myeloproliferative neoplasm
Published in Data in brief (01-10-2023)“…Tumorous cancer has been a widely known and well-studied medical phenomenon; however, rare diseases like Myeloproliferative Neoplasm (MPN) have received less…”
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Bibliographic dataset of literature for analysing global trends and progress of the machine learning paradigm in space weather research
Published in Data in brief (01-12-2023)“…The field of space weather research has witnessed growing interest in the use of machine learning techniques. This could be attributed to the increasing…”
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Brain MRI dataset of multiple sclerosis with consensus manual lesion segmentation and patient meta information
Published in Data in brief (01-06-2022)“…Magnetic resonance imaging (MRI) provides a significant key to diagnose and monitor the progression of multiple sclerosis (MS) disease. Manual MS-lesion…”
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Survey on liver CT image segmentation methods
Published in The Artificial intelligence review (01-02-2012)Get full text
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Discriminant analysis of intermediate brain atrophy rates in longitudinal diagnosis of Alzheimer's disease
Published in Diagnostic pathology (28-10-2011)“…Diagnosing Alzheimer's disease through MRI neuroimaging biomarkers has been used as a complementary marker for traditional clinical markers to improve…”
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Predicting the Motion of a Robot Manipulator with Unknown Trajectories Based on an Artificial Neural Network
Published in International journal of advanced robotic systems (30-10-2014)“…Mathematically, the motion of a robot manipulator can be computed through the integration of kinematics, dynamics, and trajectories calculations. However, the…”
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A highly interpretable fuzzy rule base using ordinal structure for obstacle avoidance of mobile robot
Published in Applied soft computing (01-03-2011)“…Conventional fuzzy logic controller is applicable when there are only two fuzzy inputs with usually one output. Complexity increases when there are more than…”
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Transition of traditional method to deep learning based computer-aided system for breast cancer using Automated Breast Ultrasound System (ABUS) images: a review
Published in The Artificial intelligence review (01-12-2023)“…Breast cancer (BC) is the leading cause of death among women worldwide. Early detection and diagnosis of BC can help significantly reduce the mortality rate…”
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15
Vertical-Edge-Based Car-License-Plate Detection Method
Published in IEEE transactions on vehicular technology (01-01-2013)“…This paper proposes a fast method for car-license-plate detection (CLPD) and presents three main contributions. The first contribution is that we propose a…”
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Retinal Blood Vessel Segmentation by Using Matched Filtering and Fuzzy C-means Clustering with Integrated Level Set Method for Diabetic Retinopathy Assessment
Published in Journal of medical and biological engineering (01-10-2019)“…Background The condition of blood vessel network in the retina is an essential part of diagnosing various problems associated with eyes, such as diabetic…”
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Correlation between 18F-FDG dosage and SNR on various BMI patient groups tested in NEMA IEC PET phantom
Published in Applied radiation and isotopes (01-10-2021)“…The present study was conducted to determine quantitatively the correlation between injected radiotracer and signal-to-noise ratio (SNR) based on differences…”
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18
DeepRelativeFusion: Dense Monocular SLAM using Single-Image Relative Depth Prediction
Published in 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (27-09-2021)“…Traditional monocular visual simultaneous localization and mapping (SLAM) algorithms have been extensively studied and proven to reliably recover a sparse…”
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Conference Proceeding -
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Earthquake Prediction Model Based on Geomagnetic Field Data Using Automated Machine Learning
Published in IEEE geoscience and remote sensing letters (2024)“…The observation of geomagnetic anomalies appearing prior to earthquakes (EQs) is theorized to be generated by underground seismic processes. However, these pre…”
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Towards efficient Monte Carlo N-Particle simulation of a positron emission tomography (PET) via source volume definition
Published in Applied radiation and isotopes (01-11-2022)“…Monte Carlo N-Particle (MCNP) simulation has been extensively proven in nuclear medicine imaging systems, most notably in designing and optimizing new medical…”
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