Hippocampal‐amygdalo‐ventricular atrophy score: Alzheimer disease detection using normative and pathological lifespan models
Sign Up to like & getrecommendations! Published in 2022 at "Human Brain Mapping"
DOI: 10.1002/hbm.25850
Abstract: In this article, we present an innovative MRI‐based method for Alzheimer disease (AD) detection and mild cognitive impairment (MCI) prognostic, using lifespan trajectories of brain structures. After a full screening of the most discriminant structures… read more here.
Keywords: disease detection; amygdalo ventricular; alzheimer disease; lifespan models ... See more keywords
Web Enabled Plant Disease Detection System for Agricultural Applications Using WMSN
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Personal Communications"
DOI: 10.1007/s11277-017-5092-4
Abstract: Plant disease detection attracts significant attention in the field of agriculture where image based disease detection plays an important role. To improve the yield of plants, it is necessary to detect the onset of diseases… read more here.
Keywords: detection system; detection; web enabled; disease detection ... See more keywords
Fabry disease: Detection of Alu-mediated exon duplication by NGS.
Sign Up to like & getrecommendations! Published in 2019 at "Molecular and cellular probes"
DOI: 10.1016/j.mcp.2019.03.008
Abstract: Monogenetic diseases can be analyzed routinely by targeted DNA sequencing. If causative variants are not found, complementary methods like RNA sequencing or analysis of copy number variations by multiplex ligation-dependent probe amplification have to be… read more here.
Keywords: exon duplication; mediated exon; alu mediated; fabry disease ... See more keywords
The Promise of Disease Detection Dogs in Pandemic Response: Lessons Learned From COVID-19
Sign Up to like & getrecommendations! Published in 2021 at "Disaster Medicine and Public Health Preparedness"
DOI: 10.1017/dmp.2021.183
Abstract: One of the lessons learned from the coronavirus disease 2019 (COVID-19) pandemic is the utility of an early, flexible, and rapidly deployable disease screening and detection response. The largely uncontrolled spread of the pandemic in… read more here.
Keywords: detection; response; disease; lessons learned ... See more keywords
Improving the Heart Disease Detection and Patients’ Survival using Supervised Infinite Feature Selection and Improved Weighted Random Forest
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3185129
Abstract: Heart disease is the leading cause of death worldwide. A Machine Learning (ML) system can detect heart disease in the early stages to mitigate mortality rates based on clinical data. However, the class imbalance and… read more here.
Keywords: disease detection; supervised infinite; patients survival; heart ... See more keywords
Parkinson’s Disease Detection Using Smartphone Recorded Phonemes in Real World Conditions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3203973
Abstract: Parkinson’s disease (PD) is a multi-symptom neurodegenerative disease. There are no biomarkers; the diagnosis and monitoring of the disease progression require clinical and functional symptom observation. Voice impairment is an early symptom of PD, and… read more here.
Keywords: disease detection; using smartphone; disease; detection using ... See more keywords
Leaf Disease Detection Based on Lightweight Deep Residual Network and Attention Mechanism
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3272985
Abstract: In today’s leaf disease detection, the accuracy of recognition has never been of such importance as it is now. In this aspect, leaf disease recognition method based on machine learning relies heavily on the size… read more here.
Keywords: residual network; attention mechanism; disease detection; disease ... See more keywords
CROPCARE: An Intelligent Real-Time Sustainable IoT System for Crop Disease Detection Using Mobile Vision
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3109019
Abstract: Agriculture is an important sector that plays an essential role in the economic development of a country. Each year farmers face numerous challenges in producing good quality crops. One of the major reasons behind the… read more here.
Keywords: system; crop; crop disease; disease detection ... See more keywords
A Leaf Disease Detection Mechanism Based on L1-Norm Minimization Extreme Learning Machine
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3110287
Abstract: The disease-free growth of a plant is highly influential for both environment and human life, as numerous microorganisms/viruses/fungus may affect the growth and agricultural production of a plant. Early detection and treatment thus becomes necessary… read more here.
Keywords: disease detection; disease; learning machine; extreme learning ... See more keywords
Weakly-Supervised Learning With Complementary Heatmap for Retinal Disease Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2022.3155154
Abstract: There are many types of retinal disease, and accurately detecting these diseases is crucial for proper diagnosis. Convolutional neural networks (CNNs) typically perform well on detection tasks, and the attention module of CNNs can generate… read more here.
Keywords: complementary heatmap; disease detection; retinal disease; loss ... See more keywords
Pavement Disease Detection through Improved YOLOv5s Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1969511
Abstract: An improved Ghost-YOLOv5s detection algorithm is proposed in this paper to solve the problems of high computational load and undesirable recognition rate in the traditional detection methods of pavement diseases. Ghost modules and C3Ghost are… read more here.
Keywords: network; disease detection; pavement disease; disease ... See more keywords