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Potato Leaf Disease Classification Using Federated Learning
Accurate classification of diseases in potato crops is vital for optimizing yield and ensuring crop health. We propose a generalized framework using...
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Renal Disease Classification Using Image Processing
The growth of renal disease has increased gradually and affected millions of people and the number of affected people increases each year. Chronic...
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Alzheimer’s disease classification: a comprehensive study
Alzheimer’s disease (AD) is a neurodegenerative disease that is well-known for causing continuous loss of memory, cognition, and other higher brain...
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Joint transformer architecture in brain 3D MRI classification: its application in Alzheimer’s disease classification
Alzheimer’s disease (AD), a neurodegenerative disease that mostly affects the elderly, slowly impairs memory, cognition, and daily tasks. AD has long...
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Lung Disease Classification Using CNN
Lung disease is a condition that affects the normal functioning of lungs. The most common diseases that effects lungs are COVID-19, pneumonia, and...
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Combining EfficientNet with ML-Decoder classification head for multi-label retinal disease classification
Retinal diseases that are not treated in time can cause irreversible, permanent damage, including blindness. Although a patient may suffer from more...
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Classification of Pediatric Inflammatory Bowel Disease
The classification of the pediatric inflammatory bowel diseases (IBD) can sometimes be challenging and uncertain. For decades, gastroenterologists...
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Clinical Aspects and Classification of Hansen’s Disease
Hansen’s disease can course with a variety of dermatologic lesions that generally characterize a clinical-immunologic form of the disease. Three...
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Robust prostate disease classification using transformers with discrete representations
Purpose:Automated prostate disease classification on multi-parametric MRI has recently shown promising results with the use of convolutional neural...
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Classification of cervical spine disease using convolutional neural network
Cervical spondylosis myelopathy (CSM) is a degenerative disorder of the cervical spine’s disks and joints, leading to neurological disability....
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Abnormal EEG microstates in Alzheimer’s disease: predictors of β-amyloid deposition degree and disease classification
Electroencephalography (EEG) microstates are used to study cognitive processes and brain disease-related changes. However, dysfunctional patterns of...
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Comprehensive Systematic Computation on Alzheimer's Disease Classification
Alzheimer’s disease (AD) is a degenerative neurological ailment that progressively affects a large number of individuals globally. Timely and precise...
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Transformer based fruits disease classification
As technology progresses, automation is increasingly gaining importance, and one area where it holds significant potential is fruit classification....
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A deep learning model for rapid classification of tea coal disease
BackgroundThe common tea tree disease known as “tea coal disease” ( Neocapnodium theae Hara) can have a negative impact on tea yield and quality. The...
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Automated Detection of Melanoma Skin Disease Using Classification Algorithm
The advancement of modern technology has enabled the diagnosis of various skin diseases through image processing. Researchers face significant...
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Self-supervised learning advanced plant disease image classification with SimCLR
Supervised learning will be a bottleneck for develo** plant disease identification since it relies on learning from massive amounts of carefully...
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An improved pear disease classification approach using cycle generative adversarial network
A large number of countries worldwide depend on the agriculture, as agriculture can assist in reducing poverty, raising the country’s income, and...
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Artificial Driving based EfficientNet for Automatic Plant Leaf Disease Classification
Plant disease (PD) detection is a substantial problem that needs to be tackled to develop the economy and improve agricultural production. Using...
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Deep Learning-Based Approach for Plant Disease Classification
Sustainable intensification in Indian agriculture aims to improve agricultural productivity without harming natural resources or the environment....
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Using transfer learning-based plant disease classification and detection for sustainable agriculture
Subsistence farmers and global food security depend on sufficient food production, which aligns with the UN's “Zero Hunger,” “Climate Action,” and...
