Deep learning has been a powerful tool for medical image analysis, but large amount of
high-quality labeled datasets are generally required to train deep learning models with …

Alzheimer's disease (AD) is a neurological disorder that significantly impairs cognitive
function, leading to memory loss and eventually death. AD progresses through three stages …

Mass spectrometry (MS) is a powerful tool for compound structure elucidation, crucial in
various domains including pharmaceuticals, chemical synthesis, environmental analysis …

Federated learning (FL) has recently gained popularity as a distributed machine learning
approach that protects privacy. However, this concept has not yet been extensively adopted …

Early identification of Autism Spectrum Disorder (ASD) is considered critical for effective
intervention to mitigate emotional, financial and societal burdens. Although ASD belongs to …

This study presents a novel approach for the early diagnosis of prevalent chest diseases,
including COVID-19, pneumonia, and lung cancer, utilizing advanced machine learning …

Lung cancer is a fatal disease that frequently occurs, thus effective and accurate methods for
detection are essential to ensure early intervention. In this research, we employed deep …

In this day and age, depression is still one of the biggest problems in the world. If left
untreated, it can lead to suicidal thoughts and attempts. There is a need for proper …

The anticipation of corn leaf disease is crucial in precision agriculture, facilitating prompt
actions to protect crop output and quality. This study utilizes a pre-trained ResNet50 deep …

Smoking is one of the risk factors associated with health conditions. The increase in smoking
leads to various health issues such as lung cancer, oral cancer, respiratory problems, heart …