Neuroimage analysis using artificial intelligence approaches: a systematic review
EJ Bacon, D He, L Wang, H Li, PDZ Yao-Digba… - Medical & Biological …, 2024 - Springer
In the contemporary era, artificial intelligence (AI) has undergone a transformative evolution,
exerting a profound influence on neuroimaging data analysis. This development has …
exerting a profound influence on neuroimaging data analysis. This development has …
A Framework for Skin Cancer Prediction Using CNN Ensembles
W Samushonga, R Kumar, M Gupta… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Skin cancer is among the deadliest diseases engulfing the world. The early detection of this
disease may provide a great relief to the patients and healthcare systems worldwide …
disease may provide a great relief to the patients and healthcare systems worldwide …
Deep Learning-Based Web Application for Real-Time Apple Leaf Disease Detection and Classification
Agriculture is the most significant industry in the economy of India. Various kinds of diseases
affect the leaves of plants and influence the productivity of crops. Apple farmers are also …
affect the leaves of plants and influence the productivity of crops. Apple farmers are also …
SSMDA: Semi-supervised multi-source domain adaptive autism prediction model using neuroimaging
M Mengi, D Malhotra - Biomedical Signal Processing and Control, 2024 - Elsevier
Autism spectrum disorder (ASD) is notoriously difficult to diagnose, despite having a high
prevalence. Recently, existing studies have turned to neuroimaging to enhance the clinical …
prevalence. Recently, existing studies have turned to neuroimaging to enhance the clinical …
Transfer Learning based Breast Cancer Classification using Histopathology Images
P Singh, R Kumar, M Gupta… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Breast cancer is a significant global health concern, and early detection is crucial for
improving patient outcomes. This study explores the potential of Deep Learning (DL) …
improving patient outcomes. This study explores the potential of Deep Learning (DL) …
Involution Fused ConvNet for Classifying Eye-Tracking Patterns of Children with Autism Spectrum Disorder
Autism Spectrum Disorder (ASD) is a complicated neurological condition which is
challenging to diagnose. Numerous studies demonstrate that children diagnosed with …
challenging to diagnose. Numerous studies demonstrate that children diagnosed with …
Fusion of Variational Modal Decomposition and ResNet Network for Intelligent Fault Diagnosis of the Bearing under Time-varying Speed Condition
Y Xing, Y Yao, B Wang, C Zhang - 2023 2nd International …, 2023 - ieeexplore.ieee.org
Given that the bearing often works under time-varying speed condition, vibration signal is
modulated by speed, making difficulty in extracting fault features, resulting in low fault …
modulated by speed, making difficulty in extracting fault features, resulting in low fault …
Smart Surveillance System Using Machine Learning
M Arshad, C Dastagiriah, DR Krishna… - … on Advancements in …, 2024 - ieeexplore.ieee.org
Video surveillance plays a significant role in protecting and securing modern communities.
Smart cameras with sophisticated video analysis can monitor events and capturing unusual …
Smart cameras with sophisticated video analysis can monitor events and capturing unusual …
Plant Disease Detection Using Convolution Neural Network
Today the persistence of plant and plant diseases is a substantial problem for cultivators,
disease diagnosis is important in the farm. To preserve the production of crops, adequate …
disease diagnosis is important in the farm. To preserve the production of crops, adequate …
Cardiac Disease Detection Using Machine Learning Algorithms: A Review
Health problems are currently spreading progressively. Particularly prevalent today are
cardiovascular disorders. Mortality nowadays is primarily caused by cardiovascular disease …
cardiovascular disorders. Mortality nowadays is primarily caused by cardiovascular disease …