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 …

Ultrasound is a critical imaging technique for diagnosing breast cancer. However, the
multimodal breast ultrasound diagnostic process is time-consuming and labor-intensive …

COVID-19 disease, an outbreak in the spring of 2020, reached very alarming dimensions for
humankind due to many infected patients during the pandemic and the heavy workload of …

Medical image analysis using multiple modalities refers to the process of analyzing and
extracting information from more than one type of image in order to gain a comprehensive …

Deep learning plays a crucial role in identifying COVID-19 patients from computed
tomography (CT) scans by leveraging its ability to analyze vast amounts of image data and …

Abstract The new coronavirus (COVID-19) outbreak had a severe impact on the health of
entire communities and the world economy. Despite the high COVID-19 survival rate, there …

Millions of people die from lung illness each year as a result of its rise in recent years. CXR
imaging is one of the most widely used and reasonably priced diagnostic techniques for the …

This study explores the application of deep learning techniques to segment lung computed
tomography (CT) scans, with a focus on cases involving COVID-19 and lung tumors …

Due to the blurred nature of lung X-ray images and the variability in lesion density and
lesion location, even relatively experienced radiologists can have diagnostic difficulties …

Faced with the rapid spread of COVID-19, nucleic acid testing methods can detect positive
cases relatively quickly. Still, the time-consuming detection and frequent false-negative …