Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

The transformer is primarily used in the field of natural language processing. Recently, it has
been adopted and shows promise in the computer vision (CV) field. Medical image analysis …

Ischemic stroke is a cerebrovascular disease with a high morbidity and mortality rate, which
poses a serious challenge to human health and life. Meanwhile, the management of …

Medical imaging is a key component in clinical diagnosis, treatment planning and clinical
trial design, accounting for almost 90% of all healthcare data. CNNs achieved performance …

The research and application areas of transformers have been extensively enlarged due to
the success of vision transformers (ViTs). However, due to the lack of local content …

Difficulty in detecting tumours in early stages is the major cause of mortalities in patients,
despite the advancements in treatment and research regarding ovarian cancer. Deep …

Semantic segmentation of various tissue and nuclei types in histology images is
fundamental to many downstream tasks in the area of computational pathology (CPath). In …

Magnetic resonance imaging (MRI) is a slow diagnostic technique due to its time-consuming
acquisition speed. To address this, parallel imaging and compressed sensing methods were …

Recent works have shown that Transformer's excellent performances on natural language
processing tasks can be maintained on natural image analysis tasks. However, the …

Rationale and Objectives Cardiac magnetic resonance imaging is crucial for diagnosing
cardiovascular diseases, but lengthy postprocessing and manual segmentation can lead to …