Technological advances and clinical research over the past few decades have given
radiation oncologists the capability to personalize treatments for accurate delivery of …

Introduction Inter‐observer variability (IOV) in target volume and organ‐at‐risk (OAR)
delineation is a source of potential error in radiation therapy treatment. The aims of this study …

Background and purpose Contouring of organs at risk (OARs) is an important but time
consuming part of radiotherapy treatment planning. The aim of this study was to investigate …

Radiotherapy (RT) plays a major role in the curative treatment of locally advanced non-small
cell lung cancer (NSCLC). Therefore, the ACROP committee was asked by the ESTRO to …

Purpose To train and evaluate a very deep dilated residual network (DD-ResNet) for fast
and consistent auto-segmentation of the clinical target volume (CTV) for breast cancer (BC) …

The emergence of digital pathology has opened new horizons for histopathology. Artificial
intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with …

Background and purpose Volume delineation is a well-recognised potential source of error
in radiotherapy. Whilst it is important to quantify the degree of interobserver variability (IOV) …

Background: Deformable image registration (DIR) is increasingly used in the field of
radiation therapy (RT) to account for anatomical deformations. The aims of this paper are to …

OBJECTIVE. Texture analysis involves the mathematic processing of medical images to
derive sets of numeric quantities that measure heterogeneity. Studies on lung cancer have …

In the past 100 years, external beam energy for the treatment of cancer has continually
evolved. Two main modes have been developed. The first is radiotherapy which involves …