Cure rates for kidney cancer vary according to stage and grade; hence, accurate diagnostic
procedures for early detection and diagnosis are crucial. Some difficulties with manual …

626 Background: The 2019 Kidney and Kidney Tumor Segmentation challenge (KiTS19)
was an international competition held in conjunction with the 2019 International Conference …

There is a large body of literature linking anatomic and geometric characteristics of kidney
tumors to perioperative and oncologic outcomes. Semantic segmentation of these tumors …

Purpose: Clinicians rely on imaging features to calculate complexity of renal masses based
on validated scoring systems. These scoring methods are labor-intensive and are subjected …

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

Background: The precise segmentation of kidneys and kidney tumors can help medical
specialists to diagnose diseases and improve treatment planning, which is highly required in …

Diagnoses in kidney disease often depend on quantification and presence of specific
structures in the tissue. The progress in the field of whole-slide imaging and deep learning …

Precise characterization of the kidney and kidney tumor characteristics is of outmost
importance in the context of kidney cancer treatment, especially for nephron sparing surgery …

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 …

The number of kidney cancer patients is increasing each year. Computed Tomography (CT)
scans of the kidneys are useful to assess tumors and study tumor morphology. Semantic …