Modern medicine is reliant on various medical imaging technologies for non-invasively
observing patients' anatomy. However, the interpretation of medical images can be highly …

Background Adopting a computational approach for the assessment of urine cytology
specimens has the potential to improve the efficiency, accuracy, and reliability of bladder …

Background Urine cytology is generally considered the primary approach for screening for
recurrence of bladder cancer. However, it is currently unclear how best to use cytological …

Bladder cancer, the leading urinary tract cancer, is responsible for 15 deaths daily in the UK.
This cancer predominantly manifests as non-muscle-invasive bladder cancer (NMIBC) …

In the current field of clinical medicine, traditional methods for analyzing recurrent events
have limitations when dealing with complex time-dependent data. This study combines Long …

The timely detection of diabetic retinopathy (DR) is crucial to prevent serious harm to the
optic nerve and potential visualization damage. This research proposes a computer-aided …

Human activity recognition (HAR), also known as human behavior understanding or human
activity analysis, is the process of identifying and classifying human movements and …

Liver tumors, which include a variety of benign and malignant growths that affect the liver,
are a serious medical problem on a global scale [1]. The liver, a crucial organ responsible …

Gliomas, the most prevalent primary brain tumors and a leading cause of mortality
worldwide, require accurate grading for effective treatment planning. In this study, a unique …

Liver tumors, which include a variety of benign and malignant growths that affect the liver,
are a serious medical problem on a global scale. The primary goal of this research is to …