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Outlier Robust Disease Classification via Stochastic Confidence Network
Accurate and timely diagnosis and classification of diseases using medical imaging data are essential for effective treatment planning and prognosis....
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Designing self attention-based ResNet architecture for rice leaf disease classification
In India, rice crops are very significant. Rice cultivation comprises several phases, and it is crucial to keep an eye on the crop's development to...
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Retinal disease prediction through blood vessel segmentation and classification using ensemble-based deep learning approaches
Automatic detection of retinal diseases is found to be more challenging and gaining considerable attention in the recent years. The visual...
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Leaf species and disease classification using multiscale parallel deep CNN architecture
Plant species are often affected by conquering biotic strains and for sustainable yield more emphasis can be on the novel mitigation measures rather...
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ZS-DML: Zero-Shot Deep Metric Learning approach for plant leaf disease classification
Automatic plant disease detection plays an important role in food security. Deep learning methods are able to detect precisely various types of plant...
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Enhancing rare retinal disease classification: a few-shot meta-learning framework utilizing fundus images
Screening techniques based on fundus imaging are very popular in diagnosing retinal diseases. In the field of fundus image classification, deep...
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Deep learning algorithm performance evaluation in detection and classification of liver disease using CT images
To diagnose the liver diseases computed tomography images are used. Most of the time even experienced radiologists find it very tough to note the...
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Concatenated deep features with modified LSTM for enhanced crop disease classification
In the agriculture industry, which is the backbone of our country, attaining healthy crops is a critical task. Unidentified crop diseases can cause...
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A Novel Classification Methodology for Investigation of Heart Disease
The prevalence of heart diseases has become a significant concern in modern medical scenarios, leading to a substantial number of deaths each year....
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A transfer learning enabled approach for ocular disease detection and classification
Ocular diseases pose significant challenges in timely diagnosis and effective treatment. Deep learning has emerged as a promising technique in...
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Tomato Leaf Disease Classification with Vision Transformer Variants
Agriculture has played a significant role for many years. Its growing significance is attributable to the money it has generated. The full advantages...
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Utilizing 3D magnetic source imaging with landmark-based features and multi-classification for Alzheimer’s Disease diagnosis
Improvements in medical imaging have accelerated the rise of computerized healthcare. Namely, Magnetic Resource Imaging (MRI) has been shown to be a...
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K-Net based segmentation and manta crow light spectrum optimization enabled DNFN for classification of Alzheimer’s disease using MRI images
Alzheimer’s disease (AD) is a dementia type, which is highly faced by elderly persons. In AD, cells of the brain that are accountable for forming...
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Chaotic Sea Horse Optimization with Deep Learning Model for lung disease pneumonia detection and classification on chest X-ray images
Pneumonia is an acute respiratory illness caused by viruses or bacteria. Early detection of pneumonia is important to ensure curative treatment and...
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Global Balanced Text Classification for Stable Disease Diagnosis
Disease diagnosis plays an important role in the application of clinical decision system. When applying artificial intelligence models in disease...
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A novel machine learning based technique for classification of early-stage Alzheimer’s disease using brain images
Alzheimer’s disease (AD) is a globally alarming neuro-degenerative abnormality for elderly people. The earliest afflicted regions in AD are the brain...
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Efficient feature fusion model withmodified bidirectional LSTM for automatic Parkinson's disease classification
The majority of people affected by Parkinson’s disease (PD) are middle-aged and older. The condition causes a variety of severe symptoms, including...
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Plus disease classification in Retinopathy of Prematurity using transform based features
Retinopathy of prematurity (ROP) is a leading cause of childhood blindness affecting the retina of low birth weight preterm infants. Plus disease in...
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CNN-based Alzheimer’s disease classification using fusion of multiple 3D angular orientations
Convolutional neural networks (CNN) can extract the features necessary for the recognition and classification of several diseases. Yet, the intricate...
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Four-way classification of Alzheimer’s disease using deep Siamese convolutional neural network with triplet-loss function
Alzheimer’s disease (AD) is a neurodegenerative disease that causes irreversible damage to several brain regions, including the hippocampus causing...
