Due to the unpredictable location, fuzzy texture, and diverse shape, accurate segmentation
of the kidney tumor in CT images is an important yet challenging task. To this end, we, in this …

Purpose: Prostate cancer is a common cancer. To improve the accuracy of early diagnosis,
we propose a prostate Magnetic Resonance Imaging (MRI) segmentation model based on …

Abstract Computer-Aided Diagnosis (CADx) systems can improve the investigative
proficiencies of clinicians and minimize the time required for carrying out the accurate …

An image classification algorithm based on adaptive feature weight updating is proposed to
address the low classification accuracy of the current single-feature classification algorithms …

Kidney tumors are the second most frequent urology tumors. They are of many types, mostly
existing as malignant tumors. In order to improve the accuracy of segmentation and …

The entire community of medical experts uses various imaging techniques as the precursor
for disease diagnosis with the assistance of computer-aided diagnosis systems. In many …

Challenges in accurate tumor detection paves the way to haste the improvement of solid
kidney tumor semantic segmentation methodologies. Accurate segmentation of kidney tumor …

Objective. Laparoscopic renal unit-preserving resection is a routine and effective means of
treating renal tumors. Image segmentation is an essential part before tumor resection. The …

Kidney tumor is a health concern that affects kidney cells and may leads to mortality
depending on their type. Benign tumors can be unproblematic whereas malignant tumors …

CT imaging is widely used for a variety of diagnostic and therapeutic purposes. It is a best
effective and efficient tool in kidney stones diagnostic and treatment strategies whenever …