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Automated Kidney Segmentation and Disease Classification Using CNN-Based Models
According to studies, kidney disease (KD) is predicted to be the 5th leading cause of death by 2040. Some works have been done on KD segmentation and...
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Electrocardiogram-Based Heart Disease Classification with Machine Learning Techniques
Automatic extraction of relevant and reliable information from electrocardiogram (ECG) signals is essential for heart disease diagnosis and...
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A novel intelligent deep optimized framework for heart disease prediction and classification using ECG signals
The advancement in medical diagnosis approaches increases the demand for effective disease prediction and classification system. Although, various...
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Speech-based detection of multi-class Alzheimer’s disease classification using machine learning
Alzheimer’s disease, a significant global health concern, necessitates early detection for effective treatment and management. This research...
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Prediction analysis for Parkinson disease using multiple feature selection & classification methods
Diagnosis of Parkinson's disease (PD) is a difficult undertaking that requires a variety of testing and clinical trials. Despite all these testing...
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HC-Net: Hybrid Classification Network for Automatic Periodontal Disease Diagnosis
Accurate periodontal disease classification from panoramic X-ray images is of great significance for efficient clinical diagnosis and treatment. It...
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XAI–reduct: accuracy preservation despite dimensionality reduction for heart disease classification using explainable AI
Machine learning (ML) has been used for classification of heart diseases for almost a decade, although understanding of the internal working of the...
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Plant disease detection and classification techniques: a comparative study of the performances
One of the essential components of human civilization is agriculture. It helps the economy in addition to supplying food. Plant leaves or crops are...
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Optimization Based Rice Leaf Disease Classification in Federated Learning
Numerous farmers worldwide are impacted by diseases connected to rice leaves that frequently endanger the sustainability of the rice industry....
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The classification of wheat yellow rust disease based on a combination of textural and deep features
Yellow rust is a devastating disease that causes significant losses in wheat production worldwide and significantly affects wheat quality. It can be...
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Multi-classification of eye disease based on fundus images using hybrid Squeeze Net and LRCN model
Globally, eye disorders have been a major issue, especially in develo** nations where resources for technology and financing are limited. Due to...
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Few-Shot Learning for Plant Disease Classification Using ILP
Plant diseases are one of the main causes of crop loss in agriculture. Machine Learning, in particular statistical and neural nets (NNs) approaches,...
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Parkinson’s disease classification using nature inspired feature selection and recursive feature elimination
New progress in machine learning (ML) have paved the way for solving various existing complex problems, including in the medical field. In the...
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Implementation of adaptive multiscale dilated convolution-based ResNet model with complex background removal for tomato leaf disease classification framework
The automatic identification of tomato leaf disease has been regarded as a subjective, laborite as well as time-consuming technique. It is crucial to...
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Integrating Different Data Modalities for the Classification of Alzheimer’s Disease Stages
Alzheimer’s disease (AD) is the most common form of dementia with physical, psychological, social, and economic impacts on patients, their carers,...
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Early Detection of Heart Disease Using Feature Selection and Classification Techniques
Cardiovascular diseases have been recognized as one of the major causes of death in humans. Majority of the time, the increase in death rate is due...
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RG-SVM: Recursive gaussian support vector machine based feature selection algorithm for liver disease classification
Health is an essential concern for everyone, so it is necessary to facilitate medical services that are easily accessible to everyone. The primary...
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Hybrid CGAN-based plant leaf disease classification using OTSU and surf feature extraction
Agriculture encompasses a way of life and a profession for the general population. Most global traditions and cultures revolve around agriculture....
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TE-CapsNet: time efficient capsule network for automatic disease classification from medical images
Convolutional Neural Network (CNN) methods are employed in medical image analysis for computer-aided diagnosis. CNNs are state-of-the-art in many...
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IoT enabled plant leaf disease segmentation and multi-classification using mayfly bald eagle optimization-enabled machine learning
Agricultural production is critical to the economy. This is one of the reasons why disease detection in plants is so important in agricultural...
