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

The remarkable success of deep learning has prompted interest in its application to medical
imaging diagnosis. Even though state-of-the-art deep learning models have achieved …

The past decade has seen significant progress in artificial intelligence (AI), which has
resulted in algorithms being adopted for resolving a variety of problems. However, this …

Among the world's most common cancers, colorectal cancer is the third most severe form of
cancer. Early polyp detection reduces the risk of colorectal cancer, vital for effective …

Objective Computer-assisted diagnostic and prognostic systems of the future should be
capable of simultaneously processing multimodal data. Multimodal deep learning (MDL) …

In recent years, machine learning (ML) and deep learning (DL) have been the leading
approaches to solving various challenges, such as disease predictions, drug discovery …

The past decade has witnessed an explosion of textual information in the biomedical field.
Biomedical texts provide a basis for healthcare delivery, knowledge discovery, and decision …

Medical caption prediction which can be regarded as a task of medical report generation
(MRG), requires the automatic generation of coherent and accurate captions for the given …

Publicly accessible benchmarks that allow for assessing and comparing model
performances are important drivers of progress in artificial intelligence (AI). While recent …

Explainability in medical images analysis plays an important role in the accurate diagnosis
and treatment of tumors, which can help medical professionals better understand the images …