Computer vision methods utilizing transfer learning can offer a promising approach for
automated eye cancer diagnosis with three-dimensional dosimetry imaging. The latest …

Renal cell carcinoma (RCC) accounts for 90% of primary renal cancers and represents a
significant cause of morbidity and mortality worldwide. Kidney cancer is the 14th most …

Tumor lesion segmentation and staging in cancer patients are one of the most challenging
tasks for radiologists to recommend better treatment planning like radiation therapy …

Simple Summary Diagnosis is the most important step in treating and managing kidney
cancer, requiring accurate identification, localization, and classification of tumor regions. The …

Introduction Kidney tumors are common cancer in advanced age, and providing early
detection is crucial. Medical imaging and deep learning methods are increasingly attractive …

Remote image semantic segmentation technology is one of the core research elements in
the field of computer vision and has a wide range of applications in production life. Most …

Kidney tumors are a significant health concern. Early detection and accurate segmentation
of kidney tumors are crucial for timely and effective treatment, which can improve patient …

Introduction Cancer happening rates in humankind are gradually rising due to a variety of
reasons, and sensible detection and management are essential to decrease the disease …

Kidney tumors represent a significant medical challenge, characterized by their often-
asymptomatic nature and the need for early detection to facilitate timely and effective …

Segmentation of brain regions affected by ischemic stroke helps to overcome the main
obstacles in modern studies of stroke visualization. Unfortunately, contemporary methods of …