BACKGROUND: Lactic acid bacteria (LAB) play vital roles in food production and clinical applications. Accurate classification of LAB strains facilitates their functional development and targeted utilization. Although machine learning and deep learnin...
Acute myeloid leukemia (AML) is recognized as a highly aggressive cancer that affects the bone marrow and blood, making it the most lethal type of leukemia. The detection of AML through medical imaging is challenging due to the complex structural and...
Patients with type 2 diabetes mellitus (T2DM) have a significantly higher risk of cardiovascular disease (CVD) compared to the general population. Accurately predicting this risk is crucial for developing personalized treatment plans and public healt...
Communication between deaf or mute individuals and hearing persons is often hindered by the lack of mutual understanding of sign or vocal language. To bridge this gap, Indian Sign Language Recognition (ISLR) systems are essential. This paper proposes...
Excessive electrical activity in the brain causes epileptic seizures which can be detected through Electroencephalogram (EEG) signals. The research aims to identify epileptic seizures using EEG records automatically. Firstly, EEG bands are extracted ...
To investigate the impact of retinal fluid dynamics on visual outcomes in patients with treatment-naïve neovascular age-related macular degeneration (nAMD) treated in the real world over 5 years using approved AI-based fluid monitoring. Real-world da...
Colonoscopy is the gold standard for the examination and detection of polyps, with over 90% of polyps potentially progressing into colorectal cancer. Accurate polyp segmentation plays a pivotal role in the early diagnosis and treatment of colorectal ...
Heart disease continues to rank among the world's top causes of death, underscoring the pressing need for precise and accurate prediction techniques. Performance issues with traditional machine learning techniques have been identified, particularly w...
Pneumonia is a prevalent and serious respiratory disease, responsible for a significant number of cases globally. With advancements in deep learning, the automatic diagnosis of pneumonia has attracted significant research attention in medical image c...
Monkeypox has arisen as a global health issue, requiring prompt and precise diagnosis for optimal management. Conventional diagnostic techniques, including PCR, are dependable yet frequently unattainable in resource-constrained environments. Deep lea...
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