In view of the problems of ineffective feature extraction and low detection accuracy in
existing detection system, this study presents a novel machine vision-based approach …

Verbal autopsies (VA) are commonly used in Low-and Medium-Income Countries (LMIC) to
determine cause of death (CoD) where death occurs outside clinical settings, with the most …

In recent years, many diseases can be diagnosed in a short time with the use of deep
learning models in the field of medicine. Most of the studies in this area focus on adult or …

This paper addresses the significant problem of identifying the relevant background and
contextual literature related to deep learning (DL) as an evolving technology in order to …

Permanent grasslands play a very important role in the landscape. The loss of permanent
grasslands and their subsequent conversion into arable land create erosion-prone …

Background There is an urgent need to find an effective and accurate method for triaging
coronavirus disease 2019 (COVID-19) patients from millions or billions of people. Therefore …

Pneumonia is a detrimental disease, especially for children, which is caused due to bacterial
infection. X-ray images are frequently observed manually to find out the existence of …

Abstract Convolutional Neural Networks (CNN) with different architectures have shown
promising results in skin cancer diagnosis. However, CNN has a high computational cost …

Addressing the challenges of diagnosing lower respiratory tract infections, this study unveils
the potential of Deep Convolutional Neural Networks (Deep CNN) as transformative tools in …

Pneumonia is a condition characterised by the sudden inflammation of lung tissue, which is
triggered by microorganisms such as fungi, viruses, and bacteria. Chest X-ray imaging …