Latest AI and machine learning research in covid-19 for healthcare professionals.
The virus poses a longstanding and enduring danger to various forms of life. Despite the ongoing end...
While morphological examination is the most widely used for identification in clinical laboratories...
The conventional detection of COVID-19 by evaluating the CT scan images is tiresome, often experienc...
Land use in urban agglomerations is the main source of carbon emissions, and reducing them and impro...
Paddy crop mapping is essential for agricultural monitoring, ensuring food security, and enhancing r...
Gliomas are the most common and malignant form of primary brain tumors. Accurate segmentation and me...
Groundwater quality is assessed by conducting water sampling and laboratory analysis. Field-based me...
With the fast development of artificial intelligence (AI) and its applications in medicine, it is of...
Early recognition of risk factors for prolonged mechanical ventilation (PMV) could allow for early c...
Few-shot image generation aims at generating novel images for the unseen category when given K image...
In recent years, Lip-reading has emerged as a significant research challenge. The aim is to recognis...
Radiopharmaceutical cocktails have been developed over the years to treat cancer. Cocktails of agent...
Superimposing visible watermarks on images is an efficient way to indicate ownership and prevent pot...
The development of novel detection technology for meat species authenticity is imperative. Here, we ...
Tuberculosis (TB), ranking just below COVID-19 in global mortality, is a highly complex infectious d...
Accurate lung lesion segmentation from computed tomography (CT) images is crucial to the analysis an...
Numerous artificial intelligence (AI) models, including deep learning techniques, are being develope...
BACKGROUND: The incidence of delirium in hospitalized coronavirus disease 2019 (COVID-19) patients i...
In this study, we developed a lightweight and rapid convolutional neural network (CNN) architecture ...
In this study, we introduce a novel approach that integrates interpretability techniques from both t...
Thyroid illness encompasses a range of disorders affecting the thyroid gland, leading to either hype...