The remarkable performance of the Transformer architecture in natural language processing
has recently also triggered broad interest in Computer Vision. Among other merits …

Deep learning techniques, in particular generative models, have taken on great importance
in medical image analysis. This paper surveys fundamental deep learning concepts related …

Research on different machine learning (ML) has become incredibly popular during the past
few decades. However, for some researchers not familiar with statistics, it might be difficult to …

Existing vision-text contrastive learning like CLIP (Radford et al., 2021) aims to match the
paired image and caption embeddings while pushing others apart, which improves …

Deep neural networks have been integrated into the whole clinical decision procedure
which can improve the efficiency of diagnosis and alleviate the heavy workload of …

Develo** countries have had numerous obstacles in diagnosing the COVID-19 worldwide
pandemic since its emergence. One of the most important ways to control the spread of this …

COVID-19 is a fast-spreading pandemic, and early detection is crucial for stop** the
spread of infection. Lung images are used in the detection of coronavirus infection. Chest X …

In the context of global pandemic Coronavirus disease 2019 (COVID-19) that threatens life
of all human beings, it is of vital importance to achieve early detection of COVID-19 among …

COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

Abstract Recently, Large Language Models (LLMs) have demonstrated impressive
capability to solve a wide range of tasks. However, despite their success across various …