Breast cancer, a leading cause of female mortality worldwide, poses a significant health
challenge. Recent advancements in deep learning techniques have revolutionized breast …

With the deepening understanding of the nutritional value of oysters by consumers, oysters
as high-quality seafood are gradually entering the market. Raw edible oyster production …

Breast cancer (BC) is the second most common cancer worldwide, and its diagnosis and
treatment rely heavily on histopathology image analysis. Moreover, continuous evaluation of …

Histopathological grading of the tumors provides insights about the patient's disease
conditions, and it also helps in customizing the treatment plans. Mitotic nuclei classification …

Tumor microenvironment (TME) plays a pivotal role in immuno-oncology, which investigates
the intricate interactions between tumors and the human immune system. Specifically, tumor …

Breast cancer, a global health concern, demands innovative diagnostic approaches. The
potential of AI (Artificial Intelligence) and ML (Machine Learning) in breast cancer diagnosis …

Accurate surgical pathological assessment of breast biopsies is essential to the proper
management of breast lesions. Identifying histological features, such as nuclear …

There has been immense progress in medical image analysis over the past decade.
Methodologies have transitioned from analytical to implementation-based to …

Atrial fibrillation (AF) is a cardiac arrhythmia that affects numerous individuals annually. This
condition raises the risk of strokes, heart failure, and even mortality. While medical-grade …

Breast cancer is a neoplasm that mainly affects women above the age of 45. However, an
increase in the incidence of this disease among young women has been observed …