Efficient and reliable storage, analysis, and transmission of medical images are imperative
for accurate diagnosis, treatment, and management of various diseases. Since quantum …

Abstract Concept-cognitive learning (CCL) is an emerging field for studying the
representation and processing of knowledge embedded in data. Many efforts are focused on …

Fuzzy concept has been an important methodology for data analysis, especially in the
classification research. Particularly, fuzzy concept could directly process the continuous data …

Medical decision-making with high-dimensional complex data has recently become a focus
and difficulty in artificial intelligence and the medical field. Tumor diagnosis using data …

Cognitive learning and two-way learning are effective knowledge representations, which
can simulate the human brain to learn concepts. The combination of both topics has …

Magnetic resonance imaging is a medical imaging technique to create comprehensive
images of the tissues and organs in the body. This study presents an advanced approach for …

With the increasing popularity of digital data in the healthcare domain, data hiding has
become a hot research topic for covert communication and privacy protection. Existing data …

Recently, with the availability of fast and reliable Internet, the distance between a patient and
a doctor is becoming unimportant. Physicians will be able to request the medical images of …

Vision-language models have been extensively explored across a wide range of tasks,
achieving satisfactory performance; however, their application in medical imaging remains …

Stuttering speech recognition is a well-studied concept in speech signal processing.
Classification of speech disorder is the main focus of this study. Classification of stuttered …