A5073421248- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Digital Imaging for Blood Diseases
- Cell Image Analysis Techniques
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Gene expression and cancer classification
- Image Retrieval and Classification Techniques
- High Altitude and Hypoxia
- Industrial Vision Systems and Defect Detection
- Image Enhancement Techniques
- Bone Tissue Engineering Materials
- Retinal and Optic Conditions
- Optimal Experimental Design Methods
- Advanced Surface Polishing Techniques
- Retinal Imaging and Analysis
- Travel-related health issues
- Advanced Clustering Algorithms Research
- Image and Video Quality Assessment
- High voltage insulation and dielectric phenomena
- Cardiovascular and Diving-Related Complications
- Ophthalmology and Visual Health Research
- Visual Attention and Saliency Detection
- Ultrasound Imaging and Elastography
- Soft Robotics and Applications
Tunku Abdul Rahman University of Management and Technology
2021-2024
Universiti Malaysia Perlis
2018-2024
Sun Yat-sen University
2013-2023
Jinan University
2023
Xiangya Hospital Central South University
2021
Central South University
2021
University of Science and Technology of China
2018
University of Canberra
2015
UNSW Sydney
2015
Third Affiliated Hospital of Sun Yat-sen University
2013
Oil palm (Elaeis guineensis Jacq.) is of the most profitable and widespread commercial high tree crops in tropical world, typically Southeastern Asia. The present study aims to provide a brief but broad overview different applications expert systems (ESs) oil precision agriculture (PA), focusing on three main generic categories: crop, water, soil management. This meant review research articles from past decade: 2011–2020. Based search strategy alongside inclusion criteria, 108 were included...
Medical artificial intelligence (AI) has been moving from the research phase to clinical implementation. However, most AI-based models are mainly built using high-quality images preprocessed in laboratory, which is not representative of real-world settings. This dataset bias proves a major driver AI system dysfunction. Inspired by design flow cytometry, DeepFundus, deep-learning-based fundus image classifier, developed provide automated and multidimensional sorting address this data quality...
Objectives: To develop and validate the model for distinguishing brain abscess from cystic glioma by combining deep transfer learning (DTL) features hand-crafted radiomics (HCR) in conventional T1-weighted imaging (T1WI) T2-weighted (T2WI). Methods: This single-center retrospective analysis involved 188 patients with pathologically proven (102) or (86). One thousand DTL 105 HCR were extracted T1WI T2WI of patients. Three feature selection methods four classifiers, such as k-nearest neighbors...
Abstract The number of breast cancer incidences reported worldwide has increased tremendously over the years. Scoping down to Asia, in 2020, are appalling, comprising 1,026,171 cases, occupying up 45.4% cases across globe. Breast is a non-communicable disease, that emerges variegated forms, self-subsistent, and etiology observed be multifactorial, dependent on individual reproductive pattern, hormonal factors, diet, physical activity, lifestyle, exposure certain advent procedures. Given this...
Purpose To develop a deep learning system to differentiate demyelinating optic neuritis (ON) and non-arteritic anterior ischemic neuropathy (NAION) with overlapping clinical profiles at the acute phase. Methods We developed (ONION) distinguish ON from NAION Color fundus photographs (CFPs) 871 eyes of 547 patients were included, including 396 232 475 315 patients. Efficientnet-B0 was used train model, performance measured by calculating sensitivity, specificity, area under receiver operating...
Hepatitis B e antigen (HBeAg) is essential for the development of chronic hepatitis virus (HBV) infection. Furin, a proprotein convertase, plays key role in processing HBeAg precursor into maturated HBeAg. For these reasons, therapeutic potential furin inhibition HBV infection was studied.The effects inhibitor I (decanoyl-RVKR-chloromethylketone, CMK) and II (hexa-D-arginine, D6R) on secretion, destination unprocessed cellular secretory functions were comparatively investigated.CMK D6R...
Radix Glycyrrhizae, the dried roots of Glycyrrhiza glabra plant, is a popular Chinese herbal medicine known for its various health benefits. It particularly effective in relieving respiratory problems like coughs, sore throats, bronchitis, and asthma. However, there limited research on electrical properties likely due to complex composition phytochemical antioxidant activities. This aims investigate potential these active biological compounds understand their electrochemical properties. In...
<abstract> <p>Based on the Nottingham Histopathology Grading (NHG) system, mitosis cells detection is one of important criteria to determine grade breast carcinoma. Mitosis a challenging task due heterogeneous microenvironment histopathology images. Recognition complex and inconsistent objects in medical images could be achieved by incorporating domain knowledge field interest. In this study, strategies histopathologist approach were used guide development image processing...
Tubule detection is very crucial and one of the important criterions for tubule formation assessment in breast carcinoma. The output essential to determine grade carcinoma based on Nottingham Histological Grading (NHG) system. Very few studies have been done quantification In this study, geometrical pattern regularity measurement non-tubule were investigated. Spatial Angle (SA), Distribution (D), Harmonic Mean (HMκ) indices proposed quantify non-tubule. information spatial angle distribution...
The Mahalanobis-Taguchi System (MTS) is a statistical approach used in breast cancer research to facilitate early detection and promote efficient treatment. technique analyses mammogram images for significant features using multivariate analysis technique. It combines the Mahalanobis distance (MD) Taguchi's method determine differences between benign malignant samples. While orthogonal array (OA) has been widely MTS, it criticised providing suboptimal results due insufficient coverage of...
Breast carcinoma represents a huge global health problem among women in both developed and developing countries. It is estimated that over 508,000 worldwide died 2011 due to breast carcinoma. Nottingham Histological Grading (NHG) system recognized as the gold standard provide overall grade for One of criteria considered grading tubule formation. The assessment formation starts with visual inspection on histopathological image using 10x magnification. However, not all regions meaningful...
A survey study was conducted to identify the level of knowledge preschool teachers in implementing play-based learning approach (PBMB) early math education. Additionally, this aimed determine differences according their teaching experience. total 108 from Kuantan district state Pahang were sample for study. Data collected using a questionnaire instrument and analyzed Statistical Package Social Science (SPSS) Version 27.0 software. The data obtained descriptive statistics t-test. results...
The Smart Fall Detection Monitoring System is the name of programme that monitors everyday activities and falls. It has an accelerometer sensor (ADXL345) Raspberry Pi 3 microcontroller board to recognise classify patient's fall. Python programming was done on terminal enable communication between computer. There were 10 subjects (5 males 5 females) collected. While daily living include standing, squatting, walking, sitting, lying, data falling includes forward falls from medical beds....
Background/Objectives: Nuclear pleomorphism, a crucial determinant of breast cancer grading under the Nottingham Histopathology Grading (NHG) system, remains inadequately quantified in existing literature. Motivated by this gap, our study seeks to investigate and establish correlations among morphological features across various scores nuclear as per NHG system. We aim quantify pleomorphism these validate proposed measurement method against ground-truth data. Methods: Initially, we...