Related Experiment Video
Updated: Mar 21, 2026

Integrating Augmented Reality Tools in Breast Cancer Related Lymphedema Prognostication and Diagnosis
Published on: February 6, 2020
Automatic segmentation of breast in prone position: Correlation of similarity indexes and breast pendulousness with
Giovanna Dipasquale1, Xinzhuo Wang2, Vanessa Chatelain-Fontanella1
1Department of Radiation Oncology, Geneva University Hospital, Switzerland.
Abstract:
This study evaluates edited/reviewed automatically-segmented structures of the breast target in patients planned in prone position and their dose/volume effects. Contouring times were reduced using automatic-segmentation. Similarity-indexes and pendulousness showed that targets with Dice values over 0.965 and high pendulousness, presented the best dosimetric results.
More Related Videos
15:48Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
09:49A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
Published on: April 24, 2020