Background and objective Segmentation is an essential step in computer-aided diagnosis
and treatment planning of kidney diseases. In recent years, several researchers proposed …

This paper addresses the automated segmentation of multiple organs in upper abdominal
computed tomography (CT) data. The aim of our study is to develop methods to effectively …

Organ segmentation in medical imagery can be used to guide patient diagnosis, treatment
and follow ups. In this paper, we present a fully automatic framework for kidney …

A new technique for more accurate automatic segmentation of the kidney from its
surrounding abdominal structures in diffusion-weighted magnetic resonance imaging (DW …

Kidney segmentation is an essential step in develo** any noninvasive computer‐assisted
diagnostic system for renal function assessment. This paper introduces an automated …

The interpretation of medical images benefits from anatomical and physiological priors to
optimize computer-aided diagnosis applications. Diagnosis also relies on the …

Kidney segmentation is a key step in develo** any non-invasive computer-aided
diagnosis (CAD) system for early detection of acute renal rejection. This paper describes a …

Background and objective We propose a novel deep neural network, the 3D Multi-Scale
Residual Fully Convolutional Neural Network (3D-MS-RFCNN) to improve segmentation in …