Medical image segmentation plays a crucial role in various healthcare applications,
enabling accurate diagnosis, treatment planning, and disease monitoring. Traditionally …

Cervical cancer is a leading cause of women's mortality, emphasizing the need for early
diagnosis and effective treatment. In line with the imperative of early intervention, the …

Since their emergence, Convolutional Neural Networks (CNNs) have made significant
strides in medical image analysis. However, the local nature of the convolution operator may …

Background Sepsis is a complex syndrome characterized by physiological, pathological,
and biochemical abnormalities caused by infection. Its development is influenced by factors …

The aim of the study was to analyze and discuss the value of preoperative systemic immune
inflammation index (SII) and prognostic nutritional index (PNI) in predicting the prognosis of …

Detection of Tumor-Infiltrating Lymphocytes (TILs) has a high prognostic value in cancer
diagnosis due to their ability to identify and kill cancer cells. However, this task is non-trivial …

Accurate nuclei segmentation is an essential foundation for various applications in
computational pathology, including cancer diagnosis and treatment planning. Even slight …

혈액은 신체 건강과 밀접한 연관이 있으며, 백혈구 (White Blood Cells, WBC), 적혈구 (Red
Blood Cells, RBC), 그리고 혈소판 (Platelets) 으로 구성된다. 이는 면역 체계, 신체 기관에 산소 …